FSSBU - Markit EDM Developer - C2 - LPL

Capgemini•Atlanta, GA

8d•Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 1. Markit EDM CADIS Core Development: Lead design and development of enterprise MDM solutions on Markit EDM CADIS. Architect and implement Core Matcher frameworks, entity resolution, survivorship rules, Golden Record creation and lifecycle management. Develop E2E data mastering pipelines including Data Constructors, Data Porters, Data Flows, Rules Engines. Ensure scalability, reusability, and performance optimization. 2. Workflow UI Data Governance: Design and develop Workflow UI components (WF Pages, WF Elements), user-driven stewardship flows. Implement data governance workflows, approval, exception handling, audit trails. Enable data lineage transparency and stewardship across domains, especially Party/Client. 3. Event-Driven Real-Time Architecture: Implement real-time data processing and notifications using Apache Kafka (Confluent), Event-driven EDM triggers. Design near real-time mastering and synchronization patterns. Integrate EDM into enterprise event ecosystems. 4. API Microservices Integration: Develop and expose RESTful APIs using Data Generators, Process Launchers. Integrate with microservices architecture (Spring Boot, Java, Node.js). Enable API-first EDM integration strategy across systems. 5. Cloud Modern Data Platform: Deploy and manage EDM solutions on AWS or Azure equivalent. AWS Glue ETL orchestration, Lambda serverless triggers, S3 Data Lake integration, RDS/Aurora, SNS/SQS eventing. Integrate EDM with modern data platforms (Snowflake, Databricks, Redshift). Design hybrid architecture (EDM golden source, Data Lake analytical layer). 6. Data Engineering Advanced Processing: Work with Python, PySpark, Spark SQL for Data transformation, Enrichment pipelines. Large-scale data processing. Handle ingestion from APIs, flat files, streaming feeds, databases. Optimize large-volume batch and streaming pipelines. 7. DevOps CICD Infrastructure: Build and maintain CICD pipelines for EDM (GitHub, GitLab, Octopus Deploy, Jenkins, Azure DevOps). Use Infrastructure as Code (IaC) (Terraform, CloudFormation). Implement Automated deployments, Environment promotion, Version control strategies. 8. Containerization Platform Engineering: Work with Docker, Kubernetes (EKS/AKS) for Microservices deployment, Integration layers around EDM. Enable scalable, resilient cloud-native deployments. 9. Observability Performance Engineering: Implement monitoring and logging using Splunk, ELK, Prometheus, Grafana, CloudWatch. Performance tuning of matchers and batch jobs. Root cause analysis and production support. 10. Database Data Modeling: Design and optimize across SQL Server, Oracle, PostgreSQL, Snowflake cloud native warehouses. Develop Complex SQL Stored procedures, Indexing and performance tuning strategies. 11. Leadership Delivery: Lead onsite/offshore model delivery. Act as technical SME and solution architect for EDM. Collaborate with Business Analysts, Data Architects & Scrum Teams. Conduct code reviews, design reviews, release governance.

Requirements

5-10 years of experience in MDM with 5 years in Markit EDM IHS
Strong expertise in: Core Matcher design
Strong expertise in: Data mastering pipelines
Strong expertise in: WorkflowUI development
Handson experience with Kafka or equivalent streaming
Handson experience with AWS cloud services
Handson experience with REST API development
Strong database experience across RDBMS cloud data warehouses
Experience with CICD
Experience with Git
Experience with Terraform
Proficiency in Python or Sparkbased data processing

Nice To Haves

Experience with Markit EDM Cloud 19x
Strong domain knowledge in Party/Client/Instrument MDM
Experience with Databricks
Experience with Snowflake ecosystems
Experience with Microservices architecture
Experience with Spring Boot
Experience with Node.js
Experience with Kubernetes containerization
Exposure to data governance frameworks (Collibra, Alation etc.)

Responsibilities

Lead design and development of enterprise MDM solutions on Markit EDM CADIS
Architect and implement Core Matcher frameworks, entity resolution, survivorship rules, Golden Record creation and lifecycle management
Develop E2E data mastering pipelines including Data Constructors, Data Porters, Data Flows, Rules Engines
Ensure scalability, reusability, and performance optimization
Design and develop Workflow UI components (WF Pages, WF Elements), user-driven stewardship flows
Implement data governance workflows, approval, exception handling, audit trails
Enable data lineage transparency and stewardship across domains, especially Party/Client
Implement real-time data processing and notifications using Apache Kafka (Confluent), Event-driven EDM triggers
Design near real-time mastering and synchronization patterns
Integrate EDM into enterprise event ecosystems
Develop and expose RESTful APIs using Data Generators, Process Launchers
Integrate with microservices architecture (Spring Boot, Java, Node.js)
Enable API-first EDM integration strategy across systems
Deploy and manage EDM solutions on AWS or Azure equivalent
Integrate EDM with modern data platforms (Snowflake, Databricks, Redshift)
Design hybrid architecture (EDM golden source, Data Lake analytical layer)
Work with Python, PySpark, Spark SQL for Data transformation, Enrichment pipelines
Handle ingestion from APIs, flat files, streaming feeds, databases
Optimize large-volume batch and streaming pipelines
Build and maintain CICD pipelines for EDM (GitHub, GitLab, Octopus Deploy, Jenkins, Azure DevOps)
Use Infrastructure as Code (IaC) (Terraform, CloudFormation)
Implement Automated deployments, Environment promotion, Version control strategies
Work with Docker, Kubernetes (EKS/AKS) for Microservices deployment, Integration layers around EDM
Enable scalable, resilient cloud-native deployments
Implement monitoring and logging using Splunk, ELK, Prometheus, Grafana, CloudWatch
Performance tuning of matchers and batch jobs
Root cause analysis and production support
Design and optimize across SQL Server, Oracle, PostgreSQL, Snowflake cloud native warehouses
Develop Complex SQL Stored procedures, Indexing and performance tuning strategies
Lead onsite/offshore model delivery
Act as technical SME and solution architect for EDM
Collaborate with Business Analysts, Data Architects & Scrum Teams
Conduct code reviews, design reviews, release governance