Markit EDM Developer

• Lead design and development of enterprise MDM solutions on Markit EDM CADIS.
• Architect and implement Core Matcher frameworks, entity resolution, survivorship rules, and Golden Record creation and lifecycle management.
• Develop end-to-end data mastering pipelines including Data Constructors, Data Porters, Data Flows, and Rules Engines.
• Ensure scalability, reusability, and performance optimization.
• Design and develop Workflow UI components including WF Pages, WF Elements, and user-driven stewardship flows.
• Implement data governance workflows, approval, exception handling, and audit trails.
• Enable data lineage transparency and stewardship across domains, especially Party/Client.
• Implement real-time data processing and notifications using Apache Kafka and 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 and Process Launchers.
• Integrate with microservices architecture using Spring Boot, Java, and Node.js.
• Deploy and manage EDM solutions on AWS or Azure equivalent including AWS Glue, Lambda, S3, RDS, and eventing.
• Integrate EDM with modern data platforms such as Snowflake, Databricks, and Redshift.
• Design hybrid architecture for EDM golden source and Data Lake analytical layer.
• Work with Python, PySpark, and Spark SQL for data transformation, enrichment pipelines, and large-scale data processing.
• Handle ingestion from APIs, flat files, streaming feeds, and databases.
• Optimize large-volume batch and streaming pipelines.
• Build and maintain CI/CD pipelines for EDM using GitHub, GitLab, Octopus Deploy, Jenkins, and Azure DevOps.
• Use Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.
• Implement automated deployments, environment promotion, and version control strategies.
• Work with Docker and Kubernetes for microservices deployment and integration layers around EDM.
• Enable scalable, resilient cloud-native deployments.
• Implement monitoring and logging using Splunk, ELK, Prometheus, Grafana, and CloudWatch.
• Perform performance tuning of matchers and batch jobs, and conduct root cause analysis and production support.
• Design and optimize databases across SQL Server, Oracle, PostgreSQL, and cloud-native warehouses.
• Develop complex SQL, stored procedures, and indexing and performance tuning strategies.
• Lead onsite-offshore model delivery and act as technical SME and solution architect for EDM.
• Collaborate with Business Analysts, Data Architects, and Scrum Teams.
• Conduct code reviews, design reviews, and release governance.

• 5-10 years of experience in MDM with 5+ years in Markit EDM IHS.
• Strong expertise in Core Matcher design, data mastering pipelines, and Workflow/UI development.
• Hands-on experience with Kafka or equivalent streaming, AWS cloud services, and REST API development.
• Strong database experience across RDBMS and cloud data warehouses.
• Experience with CI/CD, Git, and Terraform.
• Proficiency in Python or Spark-based data processing., * Experience with Markit EDM Cloud 19x.
• Strong domain knowledge in Party, Client, and Instrument MDM.
• Experience with Databricks, Snowflake ecosystems, and microservices architecture using Spring Boot and Node.js.
• Experience with Kubernetes and containerization.
• Exposure to data governance frameworks such as Collibra and Alation.

Skills:

• Deep expertise in Markit EDM and modern data ecosystem.
• Strong architecture and system design mindset.
• Ability to lead complex data platform transformations.
• Excellent communication and stakeholder management.
• Strong problem-solving and performance optimization skills.