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Design, develop, and maintain AEM components, templates, workflows, jobs, and integrations while ensuring stability and performance across environments. Troubleshoot and resolve issues related to Dispatcher configuration, caching, and overall system performance, and support CI/CD pipelines including Cloud Manager operations, automated builds, deployments, and testing. Page 2 of 3 Work closely with Architects and Product Owners to translate requirements into scalable technical solutions, while adhering to coding standards, best practices, and security guidelines. Perform code reviews, mentor junior developers, and guide AEM development practices, while integrating AEM with third party systems such as CRM, DAM, analytics tools, and custom APIs. Monitor application health and implement observability and diagnostics, while staying current with AEM features, cloud services, and Adobe Experience Cloud advancements. MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered. • 8+ years of experience in AEM development; strong hands-on experience with AEM Sites, Assets, Sling Jobs and workflows. • 3+ years in custom application development not in AEM or Adobe Cloud • Relevant AEM certifications such as Adobe Experience Manager Sites Architect, Adobe Experience Manager Sites Lead, Adobe Experience Manager DevOps, Adobe Experience Manager Sites Developer • Provide technical leadership to development teams, including mentoring, conducting code reviews, and promoting industry best practices (DevOps, Cloud, Agile). • Collaborate with business teams to define requirements, identify risks and define maintainable solutions within the AEM platform • Design, develop and support AEM components, integrations, and applications for building websites • Expertise in Java, Sling, OSGi, HTL (Sightly), and front-end technologies (HTML, CSS, JavaScript). • Strong knowledge of Dispatcher configs, caching techniques, and performance tuning • Experience deploying websites to AEM Cloud Service and on-premises installations. • Experience with CI/CD pipelines, Git, Maven, Jenkins, or other DevOps tools • Strong troubleshooting skills and experience resolving production issues in AEM environments. • Familiarity with Agile development practices and team collaboration tools. DESIRABLE SKILLS/EXPERIENCE: • Experience with Adobe Target is not required but consider a plus • Experience integrating Adobe Analytics with AEM is a+ • Experience with Akamai Content Delivery Network for websites • Experience with language translation tools such as Smartling or Transperfect • Experience with search engines such as Coveo or Solr

The Help Desk Analyst performs the skills listed below- • Provides technical assistance, support, and advice to end users for hardware, software, and systems via phone. • Investigates and resolves computer software and hardware problems of users. • Answers questions, applying knowledge of computer software, hardware, systems, and procedures. • Talks with technical and non-technical co-workers to research problem and find solution. • Asks user with problem to use telephone and participate in diagnostic procedures, using diagnostic software or by listening to and following instructions. • Create and escalate Remedy trouble tickets to Tier 2 Service Desk staff and/or 3rd Party Service Providers as needed to ensure resolution. • Follow quality standards and displays strong customer service skills. • Able to work in a team environment. • Complete assigned tasks. • Excellent communication skills; both written and spoken. • Reset or restore mainframe, LAN and User IDs and passwords through RACF or Active Directory • Diagnose and coordinate the repair of products by dispatching and tracking the work of appropriate Service Providers. • Research and update, as needed, reference publications and diagnostic aids to seek information necessary to resolve end user issues. Required Skills: • Experience with call tracking and ticketing software • Attentive to details and ability to be resourceful (using supplied documentation) • Ability to support users with limited knowledge of computers, software, hardware, and systems • Above average communication skills and telephone manner. • Excellent organizational skills • Basic User & Security Group Active Directory administration • Strong knowledge of Microsoft based operating systems with emphasis on Windows 7 and Office 365 • Experience with using and troubleshooting Office 365 within a network environment (permissions, calendar sharing, delegation) • You will be a self-motivated achiever who gains satisfaction from providing excellent customer service • 1+ years previous IT Service Desk and/or Call Center experience required.

Client : Prudential Duration: 6 months, room to extend Skills Needed: Hands on experience with tools such as SIEM, EDR/XDR, UEBA; Data Loss Prevention; Splunk New opportunity supporting specific functions in the Insider Threat team (part of the overall Info Sec organization); additional details will be added as received them from the client Team of Data Security Leads to collaborate with business stakeholders, product owners, and tech leads to strengthen our organization’s data security posture. You will oversee quality control of data security technical controls. In addition to expertise and experience in data security, you will bring excellent problem-solving, communication, and collaboration skills. You will champion agile methodologies, demonstrate strong business acumen, foster an inclusive leadership style, and maintain a continuous learning mindset in all aspects of your work. Key Tasks and Focus Areas   • Conduct regular quality control assessments of data security controls across cloud and on-premise platforms. • Evaluate the effectiveness of technical security controls in protecting sensitive data. • Identify gaps or weaknesses in implemented security controls and recommend corrective actions. • Verify that security controls comply with business/corporate function requirements, organizational policies and regulatory requirements. • Work closely with platform owners and technical teams to ensure proper configuration and maintenance of data security controls. • Document findings from quality control reviews and track remediation efforts. • Develop and maintain checklists and procedures for quality control processes related to data security. • Monitor platform updates and changes to ensure ongoing compliance and effectiveness of security controls. • Support audits by providing evidence of quality control over security controls. • Provide feedback and training to technical teams on best practices for data security controls. • Stay informed about new threats and vulnerabilities affecting technical platforms and adjust quality control processes accordingly. • Report quality control outcomes, relevant metrics, and identified risks to management and stakeholders. The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields  • Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business  • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges  • Analytical problem solving, communication and collaboration skills  • Expertise in cloud and on-premise data security controls   • Proficiency in conducting quality control assessments   • Strong risk assessment and mitigation skills   • Knowledge of regulatory compliance requirements   • Experience with Data Loss Prevention (DLP), Security Information and Event Management (SIEM), Cloud Access Service Broker (CASB), and Data Security Posture Management (DSPM). Preferred Certifications: • GIAC Certified Forensic Analyst (GCFA) • GIAC Cloud Forensics Responder (GCFR) • Certified Information Systems Security Professional (CISSP) • Certified Insider Threat Program Manager (CITPM) • AWS Security Specialty

Client:Lam Research Onsite Must Have: Azure cloud services knowledge, Python for automation and Operations background. 1. Build deep knowledge of the business and understand the end-to-end customer journey. 2. Partner with stakeholders to improve the design, visibility, availability, scalability, and performance of services. 3. Efficiently automate manual processes, deep dive into incidents, and facilitate blameless postmortems. 4. Improve alert management, decision making, analysis, and various optimization techniques by measuring data using standardized telemetry. 5. Support planned changes with deployment, post deployment monitoring and create new dashboards or alerts as needed to monitor new changes in system 6. Evaluate open-source and vendor products, create a proof of concepts and migrate applications to the external cloud. 7. Adhere to crucial company controls that are necessary to meet internal or external audit requirements. 8. Build value-proposition presentations, case studies, and accelerators. 1. 10+ years of experience in software development, technical operations, and running large-scale applications. 2. 8+ years of experience in developing or supporting J2EE, Spring Boot, Spring Data JPA, Hibernate, UNIX Shell scripting, Spring Boot, Micro Services, Cosmos DB/SQL, Experience working on Windows OS/Troubleshooting Mandatory Skill Set: 2. Should have 8+ years of overall programming and Logical and creative problem-solving skills and good analytical skills 3. Strong object-oriented programming skills in Java 8/17. 4. Expertise in J2EE, Spring Boot, Spring Data JPA, Hibernate 5. Expertise on Azure, Cosmos DB, Synapse DB, Kafka 6. Expertise in REST API development and deployment using a microservices paradigm 7. A good understanding of RDBMS and SQL concepts 8. Setting up SPARK Jobs and debugging, should have knowledge on data Processing, cleansing, and verifying the integrity of data. 9. A good understanding of NoSQL concepts 10. Knowledge of deployment and build tools 11. Experience with Azure Cloud, especially Storage, Kubernetes, APIM, Log Analytics and related services 12. Experience to manage the team, delivery and stakeholders 13. Familiarity with Support project process and tools 14. Python & Shell scripting for automations

Client: Macys Remote Position Overview: As a PIM Architect, you will be responsible for defining the overall PIM solution architecture and guiding the design and enhancement of PIM capabilities. The role requires strong hands-on experience with enterprise PIM platforms and a deep understanding of product information management, data modelling, governance, workflows, enrichment, syndication, and omnichannel product experiences. You will work closely with Product Managers, Data Architects, business stakeholders, development teams, and other enterprise architecture teams to design scalable PIM solutions and continuously enhance the platform based on PIM best practices and evolving business requirements. Key Responsibilities: • PIM Solution Architecture:  Define the overall solution architecture for PIM implementations and enhancements.  Design scalable and maintainable PIM solutions aligned with business and technical requirements.  Define PIM capabilities covering product data modelling, taxonomy, enrichment, workflows, validation, governance, and syndication.  Ensure PIM architecture supports scalability, performance, maintainability, and future business needs. • PIM Feature Enhancement:  Guide the enhancement of existing PIM capabilities to improve business processes and end-user experience.  Analyse existing PIM functionality and identify opportunities for optimization and automation.  Recommend solutions that align with PIM best practices while minimizing unnecessary customization.  Guide teams in designing intuitive and efficient PIM experiences for business users.  Ensure new features and enhancements maintain consistency across the overall PIM architecture.   • Product Data Architecture:  Define and review product data models, taxonomies, hierarchies, attributes, relationships, classifications, and reference data.  Ensure product data structures support enrichment, governance, and downstream syndication requirements.  Guide implementation teams on complex data modelling and PIM configuration decisions.  Ensure data architecture supports multiple markets, brands, channels, and business requirements where applicable. • Workflow, Governance and Data Quality:  Define PIM workflows and business processes for product creation, enrichment, review, approval, and publication.  Guide implementation of validation rules, business rules, approval processes, and data quality controls.  Establish PIM governance standards and recommend best practices for managing product information.  Ensure PIM solutions support data completeness, accuracy, consistency, and governance requirements. • Integration and Syndication:  Define and review PIM integration architecture with ERP, eCommerce, DAM, CRM, marketplaces, and other enterprise systems.  Guide product data flows between PIM and upstream/downstream systems.  Define appropriate approaches for product data syndication across multiple sales and digital channels.  Ensure integrations and syndication solutions are scalable and aligned with enterprise architecture principles.  Guide teams in resolving complex integration and data-flow challenges. • Technical Leadership:  Provide architectural guidance to PIM developers, data architects, product managers, and implementation teams.  Review solution designs and ensure alignment with defined PIM architecture and standards.  Identify technical risks, dependencies, and architectural gaps and provide appropriate recommendations.  Support technical discussions, design reviews. Qualifications: • PIM Skills:  Strong hands-on experience with enterprise Product Information Management (PIM) platforms.  Strong experience with at least one major PIM platform; Akeneo, Syndigo, or Salsify preferred.  Strong understanding of PIM architecture, product data modeling, taxonomy, workflows, governance, enrichment, validation, and syndication.  Strong understanding of omnichannel product information management and digital commerce.  Ability to design solutions using standard PIM capabilities and identify when customization is appropriate. • Architecture and Technical Skills:  Strong experience designing PIM solution architectures and enterprise integrations.  Strong understanding of APIs, integration patterns, data flows, and system-to-system integrations.  Experience integrating PIM with ERP, eCommerce, DAM, CRM, marketplaces, and other enterprise platforms.  Strong understanding of data modelling and product information architecture.  Understanding of cloud-based architectures and modern integration patterns is a plus. • Experience:  Significant experience working on PIM implementations, enhancements, or transformation programs.  Experience designing and enhancing PIM solutions for large and complex product catalogs.  Experience working across multiple PIM platforms is highly preferred.  Experience supporting multiple markets, brands, languages, channels, or business units is a plus.  Experience working with cross-functional business and technical teams.  Experience in PXM, eCommerce, DAM, MDM, or digital commerce ecosystems is a plus. • Education/ Certifications:  Bachelor’s degree in Computer Science, Information Technology, or a related field.  Relevant PIM is a plus.

IP: Capco End Client : Freddie Mac Must Have Skills: Datastage with Mainframe Knowledge Python with any AI Experience "Skills Needed: +8 years in IBM DataStage development and engineering, building ETL workflows, strong expertise in SQL, UNIX/Linux, Shell Scripting for automation and operation support, metadata and XML logic, translate ETL in to data platforms such as Snowflake, AWS, or Collibra, AI assisted development, automation tools, etc What We're Looking For 6+ years of hands-on experience with IBM DataStage development. Proven experience building end-to-end ETL workflows, including extraction, transformation, and load processes. Strong expertise in SQL, including complex joins, subqueries, window functions, and performance tuning. Solid knowledge of UNIX/Linux fundamentals, including file systems, permissions, and process management. Hands-on experience with shell scripting (bash/ksh) for job automation and operational support. Experience working with DataStage job metadata and XML transition logic. Ability to analyze and translate legacy ETL logic into modern data platforms such as Snowflake, AWS-native services, or data governance tools like Collibra. Familiarity with AI-assisted development or automation tools used to understand, parse, or accelerate ETL modernization efforts. Strong understanding of data warehousing concepts, ETL best practices, and data quality frameworks. Excellent analytical, problem-solving, and communication skills. Bonus Points For Experience with Collibra or other enterprise metadata and data governance platforms. Familiarity with AI-assisted development tools that support code analysis, metadata interpretation, or ETL modernization. Experience supporting enterprise cloud migration or large-scale modernization programs. Knowledge of CI/CD pipelines and DevOps practices for data engineering. Experience working within financial services or other highly regulated industries."

Client : DTCC Snowflake Data Engineer – Platform Optimization We are seeking an experienced Snowflake Data Engineer to support workload optimization, platform performance, resiliency, and cost efficiency. The role will focus on analyzing existing Snowflake workloads, improving resource utilization, and supporting integration with an AWS-based open data platform using Amazon S3, Apache Iceberg, and Apache Polaris. Key Responsibilities • Design and validate Snowflake integration with Amazon S3, Apache Iceberg, and Apache Polaris. • Analyze Snowflake workloads, query performance, warehouse utilization, concurrency, and consumption patterns. • Identify and implement performance-tuning and cost-optimization opportunities across databases, warehouses, pipelines, and dbt workloads. • Review platform incidents and workload failures to improve reliability, resiliency, monitoring, and operational controls. • Support workload benchmarking and placement assessments across Snowflake and AWS services. • Establish optimization recommendations, platform guardrails, and measurable cost-efficiency improvements. Required Skills • Strong hands-on Snowflake integration with Amazon S3, Apache Iceberg, Apache Polaris, or another Iceberg REST Catalog. • Strong hands-on experience with the Snowflake platform, SQL, workload management, and query performance tuning. • Experience optimizing virtual warehouses, storage, clustering, caching, concurrency, and Snowflake credit consumption. • Knowledge of Snowflake security, access controls, data sharing, monitoring, and operational best practices. • Experience troubleshooting complex data pipelines and platform performance issues. • Strong understanding of cloud data architecture and integration patterns.

Client : Freddie Mac This role will help to transform the way in which Freddie Mac manages and governs its critical data assets. The Product Owner – Master Data Management develops and drives the product vision and strategy for MDM capabilities, serving as the bridge between business stakeholders and technology teams to ensure authoritative, consistent, and trusted master data across the Multifamily division. Specifically, this role will support the product management of Master Data Management program delivery execution. These capabilities are critical to driving Data Modernization, ensuring golden record integrity through standardized, governed, and high-quality master data. Your Impact: • Set ambitious and clear product vision for MDM capabilities and communicate the strategy effectively to key stakeholders and the rest of the team • Own the end-to-end MDM product strategy from inception, defining business value through improved data quality, reduced redundancy, and trusted data assets in production • Ensure alignment of MDM product features and stories and prioritize user stories in line with the MDM and Data Product Roadmap • Continuously improve the backlog with the team, ensuring all items related to data matching, merging, survivorship rules, and data stewardship workflows are clearly described, estimated, and prioritized • Ensure customer-driven design considering data consumer pain points, data quality metrics, and usability test results, using market & industry knowledge as well as continual research, to deliver well-positioned MDM solutions • Define and refine master data domains (e.g., counterparty, property, etc) and their associated governance models • Drive sprint and release plans together with the Scrum Coach and organizational technology teams • Work with Development Lead to build modular & reusable MDM solutions, including match/merge logic, hierarchy management, and data stewardship capabilities • Define and monitor data quality KPIs, stewardship SLAs, and master data health metrics to drive continuous improvement Qualifications: • Understanding of the mortgage industry, preferably commercial or multifamily real estate and their underlying loan lifecycles • 5+ years of Product Owner experience • 5+ years of data-related experience with a focus on master data management, data delivery, and data governance disciplines • Experience with MDM concepts including golden record creation, match/merge/survivorship rules, data stewardship, hierarchy management, and reference data management • Experience delivering large, complex change management projects that involve interfacing with multiple teams, especially projects involving data governance frameworks and master data standardization • Strong experience with hands-on data analysis skills to support data profiling, data quality assessment, data mapping, data querying, and duplicate identification • Experience working in an Agile methodology team and agile-related tools • Strong analytical and problem-solving thought processes, particularly around data quality root cause analysis • Superior written and verbal communication skills, including ability to present to management and expertly facilitate meetings with data stewards, data owners, and technical teams • Experience with data-focused technologies such as relational, non-relational, on-prem, and off-prem databases, as well as MDM-specific architectures (registry, consolidation, coexistence, centralized) Keys to Success in this Role: • Ability to leverage product-facing soft-skills and technical MDM/data analysis hard skills simultaneously and regularly • Understanding the priorities of Data Modernization and how master data governance underpins their operational processes to identify, design, and define solutions that can be effectively implemented to deliver value across the technology organization • Understanding the MF modernization strategy and applying it to the prioritization of the MDM product backlog, balancing quick wins in data quality with long-term architectural goals • Representing the Multifamily Data team as the principal contact and subject matter expert for Master Data Management in the Enterprise Business Model and Data Modernization efforts • Interact with data consumers, data stewards, data owners, and internal technology customers to obtain feedback on MDM solutions and design to validate and refine value, or pivot to something new • Highly motivated, adaptive, persistent, and self-driven • Ability to work independently and confidently as well as across multiple teams and disciplines, particularly bridging business domain expertise with technical MDM implementation teams

Client : DTCC We are seeking an experienced AWS Data Engineer to support the design and implementation of an AWS-based open data platform. The role will focus on building scalable data pipelines and integrating Amazon S3, AWS Glue, Apache Iceberg, and Apache Polaris with Snowflake and other analytics platforms. Key Responsibilities • Design and develop data ingestion, transformation, and processing pipelines using AWS Glue, Apache Spark, and Amazon S3. • Build and manage Apache Iceberg tables supporting open, interoperable access across multiple compute engines. • Configure and integrate Apache Polaris to Iceberg REST Catalog with AWS and Snowflake. • Support platform security, access controls, networking, performance optimization, and operational monitoring. • Participate in workload benchmarking and evaluate the cost and performance of AWS Glue versus Snowflake. Required Skills • Strong hands-on experience with Amazon S3, AWS Glue, Apache Spark, Iceberg, IAM, and AWS networking. • Experience designing and implementing cloud-based data pipelines and large-scale data processing solutions. • Good understanding of Apache Iceberg architecture, table maintenance, schema evolution, partitioning, and performance optimization. • Should have Install/configuration experiance in Apache Polaris and Iceberg over Amazon S3 files.

Client : Ameri Health Industry: Healthcare Role: PeopleSoft Architect with Workday

Experience: 6 to 8 years End Client: CTS / Apple W2 Only Interview Rounds : 2 Immediate slots for right candidates Job description We are seeking an experienced Data scientits Professional with strong project management and reporting expertise. The ideal candidate should have hands-on experience in data analytics, business intelligence, dashboard development, and stakeholder management. Mandatory Skills • ServiceNow • Snowflake • Tableau • Business Intelligence (BI) • Business Objects • Data Science • Data Visualization • Analytics & Reporting • Project Management • Analytical Skills and Analytical Thinking • Gathering Information / Requirements Analysis • Assertiveness and stakeholder communication • Time Management • Attention to Detail Nice-to-Have Skills • SQL • Apple GBI Framework • Central Station • ITSM (IT Service Management) Experience • 6-8+ years of experience in Business Intelligence, Analytics, Reporting, or Data Management roles. • Proven experience working with Snowflake and Tableau for data analysis, dashboarding, and reporting. • Experience managing analytics projects and coordinating with business and technical stakeholders. • Strong understanding of data visualization best practices and business reporting frameworks. • Ability to gather business requirements, translate them into actionable insights, and deliver reporting solutions. Key Responsibilities • Design, develop, and maintain BI dashboards and analytical reports. • Work with business stakeholders to gather and document requirements. • Utilize Snowflake, Tableau, ServiceNow, and Business Objects to provide data-driven insights. • Manage reporting projects from planning through execution. • Ensure data accuracy, quality, and timely delivery of analytics solutions. • Present findings and recommendations to leadership and business teams. Preferred Profile: A data-driven professional with strong analytical capabilities, excellent communication skills, and experience leading BI and reporting initiatives within enterprise environments.

Hybrid (Tue, Wed, Thur) W2 Only End Client: CTS / Apple Interview Rounds : 2 Immediate slots for right candidates Experience: 6 to 8 Years Key Requirements: • Experience in a Data Scientist or Data Analyst role with extensive knowledge of both client-side and server-side tagging/instrumentation concepts and frameworks. • Strong ability to understand products, future roadmaps, customer needs, and business objectives. • Hands-on experience with data privacy and privacy-preserving data collection and analysis. • Experience working with cross-functional technical teams to facilitate data collection. • Expertise in developing measurement plans, tracking essential data elements, defining KPIs, and establishing business justification. • Strong SQL skills, including designing SQL-friendly data structures and implementing complex SQL queries. • Experience with Notebooks, DBeaver, and SQL Workbench is a plus. • Exposure to data quality assurance, large-volume datasets, and Big Data technologies such as Hadoop, Hive, and Spark. • Familiarity with Python, Splunk, and data visualization tools such as Tableau for end-to-end data analysis, insight generation, and presentation. • Experience building and maintaining centralized documentation repositories, including processes, user guides, runbooks, requirements, and specification documents. • Experience with Confluence, JIRA, Quip, Numbers, and Keynote is preferred. • Proven experience writing and maintaining technical data documentation. • Excellent communication, interpersonal, and presentation skills with strong attention to detail.

Experience: 6 to 8 years Salary: $85 - 90k (W2 Only) VISA: EAD/GC/Citizenship End Client: CTS / Apple Interview Rounds : 2 Immediate slots for right candidates Professional Summary Highly skilled Automation Quality Engineer with strong experience in both manual and automated testing of mobile and device-based platforms. Proven expertise working in physical device lab environments, including device provisioning, flashing, configuration, troubleshooting, and large-scale test execution. Strong background in black-box testing, automation framework development, and OS-level validation. Hands-on experience with iOS ecosystems, Swift programming, Xcode, and device diagnostics. Key Qualifications Lab & Device Testing Experience • Hands-on experience managing real-device test labs and multiple test devices. • Device setup, provisioning, flashing, configuration, reset, teardown, and troubleshooting. • Experience validating hardware-software interactions and device behavior. • Familiarity with system logs, device diagnostics, and root cause analysis. • Manual Testing Expertise • Strong black-box testing experience. • Creation and execution of detailed test cases and test plans. • End-to-end functional, integration, and regression testing. • Defect identification, reproduction, documentation, and tracking. Automation Skills • Development and maintenance of automated test scripts and frameworks. • Experience with continuous test execution and validation pipelines. • Strong programming skills in Python, Java, or similar automation languages. • Experience integrating automated tests into CI/CD environments. • iOS / OS Testing Experience • Experience testing operating systems, platform features, and device-level functionality. • Strong understanding of iOS device provisioning, configuration, and debugging. • Knowledge of system logs, crash analysis, and troubleshooting techniques. Programming Skills • Swift programming experience with the ability to develop, modify, and maintain test code. • Hands-on experience with Xcode. • XCTest framework experience preferred. • Exposure to Objective-C is an added advantage. Preferred Background • Experience working with Apple products, iOS devices, or mobile ecosystems. • Strong analytical and debugging skills. • Ability to work independently in a fast-paced lab environment. • Excellent communication and collaboration skills. Strong Resume Keywords • Black-box Testing, Test Automation, Swift, Xcode, XCTest, iOS Testing, Device Provisioning, Device Flashing, Lab Environment, Root Cause Analysis, Log Analysis, Integration Testing, End-to-End Testing, Python Automation, Java Automation, Mobile Device Testing, OS Validation, CI/CD Testing Ideal Candidate Snapshot • A QA/Automation professional with 6+ years of experience who combines strong manual testing fundamentals, real-device lab expertise, automation framework development skills, and hands-on Swift/iOS knowledge. Candidates with Apple ecosystem experience and a proven track record in device validation and troubleshooting will be highly preferred.

Client: Fredde Mac Position Summary We are seeking a highly analytical and experienced Senior Data Analyst – Master Data Management (MDM) to support enterprise-wide data management initiatives within the Multifamily Mortgage business. This role will play a key part in defining and implementing Master Data Management (MDM) strategies that improve data quality, consistency, governance, and enterprise reporting. The ideal candidate combines strong technical expertise in SQL, ETL, AWS cloud technologies, and enterprise data management with the ability to collaborate across business, product, architecture, engineering, and governance teams. Candidates should be comfortable working in a fast-paced, highly regulated financial services environment and possess strong stakeholder management and communication skills. What You'll Do • Lead and support enterprise Master Data Management (MDM) initiatives across the Multifamily Mortgage business. • Partner with business stakeholders, data stewards, architects, and engineering teams to define and govern critical data domains. • Analyze complex business processes and translate business requirements into scalable data management and governance solutions. • Design, develop, and optimize advanced SQL queries, ETL processes, and data pipelines supporting enterprise reporting and analytics. • Develop and maintain enterprise data quality rules, validation processes, and monitoring frameworks. • Create and support MDM implementation roadmaps, including milestones, dependencies, risks, and success metrics. • Collaborate with cloud engineering teams to leverage AWS services for scalable and secure data integration solutions. • Support enterprise data governance initiatives, including metadata management, data lineage, business glossary development, and reference data management. • Present analytical insights and recommendations to both technical and non-technical stakeholders. • Mentor junior team members and promote best practices in data management, governance, and analytics. What We're Looking For • 7+ years of experience in Data Analytics, Data Management, Data Engineering, or Master Data Management. • Strong hands-on expertise with advanced SQL, including complex query development, performance optimization, and data analysis. • Extensive experience designing and supporting ETL processes and enterprise data integration solutions. • Strong understanding of Master Data Management (MDM), enterprise data governance, metadata management, reference data management, and data quality frameworks. • Experience creating implementation roadmaps and supporting enterprise-wide data initiatives. • Working knowledge of AWS cloud technologies, including services such as Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, or RDS. • Proven ability to collaborate across business, technology, governance, architecture, and engineering teams. • Excellent analytical, problem-solving, stakeholder management, and communication skills. • Experience working within mortgage, housing finance, banking, or financial services environments. • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Finance, or a related discipline. Bonus Points For • Experience supporting Multifamily Mortgage business processes, including loan origination, underwriting, servicing, asset management, or securitization. • Experience with enterprise MDM platforms such as Informatica MDM, Reltio, Semarchy, Profisee, or SAP MDG. • Familiarity with enterprise data governance frameworks such as DAMA-DMBOK or DCAM. • Experience with Snowflake or other modern cloud-based data platforms. • AWS or cloud-related certifications. • Experience working in Agile environments supporting cross-functional product and engineering teams.

End client: Freddie Mac What We're Looking For • Core, hands-on experience in enterprise data modeling with data modeling serving as the candidate's primary responsibility and not simply exposure as part of a Data Engineering role. • Recent hands-on experience with MongoDB, including designing or working with document-based data models. • Strong mortgage domain experience with recent and consistent involvement in mortgage-related projects. Experience supporting Freddie Mac or Fannie Mae is highly preferred. • Strong proficiency in SQL and hands-on experience with Snowflake. • Experience modeling JSON and other semi-structured data. • Solid understanding of data integration, ETL, and enterprise data architecture. • Excellent communication and stakeholder management skills, with the ability to collaborate effectively across both technical and business teams. • Demonstrated leadership qualities, including the ability to think independently, solve problems proactively, and contribute ideas rather than simply executing assigned tasks. • Candidates who are already local to the McLean, VA area are strongly preferred. Bonus Points For • Experience with multi-family mortgage or housing finance data • Familiarity with data governance and data quality frameworks • Exposure to cloud-based data platforms beyond Snowflake • Experience working in consulting or client-facing environments Technical Requirements • Recent, hands-on MongoDB experience is now a requirement. The client is looking for candidates who have actively worked with MongoDB in their most recent roles—not just exposure or familiarity. • Recent and consistent mortgage domain experience is also required. This should be clearly reflected throughout the candidate's resume. Experience supporting Freddie Mac or Fannie Mae is highly preferred. Soft Skills The client is looking for individuals who demonstrate strong leadership qualities and can think independently. They want candidates who can bring ideas to the table, solve problems proactively, and work with minimal direction and not someone who simply executes assigned tasks.