Capgemini

FSSBU - Markit EDM Developer - C2 - LPL

Capgemini$105K — $115K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-10 years of experience in MDM with 5 years specifically in Markit EDM IHS
  • Strong expertise in Core Matcher design and data mastering pipelines
  • Hands-on experience with Kafka or equivalent streaming solutions
  • Proficient in AWS cloud services and REST API development
  • Extensive database experience across multiple RDBMS and cloud data warehouses
  • Familiarity with CICD tools like Git and Terraform
  • Proficient in Python or Spark-based data processing

Responsibilities

  • Lead design and development of enterprise MDM solutions on Markit EDM CADIS
  • Architect and implement core matcher frameworks and entity resolution rules
  • Develop end-to-end data mastering pipelines and optimize for performance
  • Design and develop Workflow UI components supporting data governance
  • Implement real-time data processing and notifications using Apache Kafka
  • Develop RESTful APIs and integrate with microservices architecture
  • Deploy and manage EDM solutions on AWS or equivalent cloud services

Benefits

  • Paid time off based on employee grade, including vacation days, personal days, and sick leave
  • Medical, dental, and vision coverage
  • Retirement savings plans like 401(k) in the U.S.
  • Life and disability insurance
  • Employee assistance programs
Full Job Description
Short Description

Location:
Fort Mill, SC

Job Description

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 userdriven stewardship flows
  • Implement data governance workflows approval exception handling audit trails
  • Enable data lineage transparency and stewardship across domains especially PartyClient
    3. EventDriven RealTime Architecture
  • Implement realtime data processing and notifications using
  • Apache Kafka Confluent
  • Eventdriven EDM triggers
  • Design near realtime 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 Nodejs
  • Enable APIfirst 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
  • SNSSQS eventing
  • Integrate EDM with modern data platforms
  • Snowflake Databricks Redshift
  • Design hybrid architecture
  • EDM golden source Data Lake analytical layer


Job Description - Grade Specific

  • 6. Data Engineering Advanced Processing
  • Work with Python PySpark Spark SQL for
  • Data transformation
  • Enrichment pipelines
  • Largescale data processing
  • Handle ingestion from
  • APIs flat files streaming feeds databases
  • Optimize largevolume 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 EKSAKS for
  • Microservices deployment
  • Integration layers around EDM
  • Enable scalable resilient cloudnative deployments
    9. Observability Performance Engineering
  • Implement monitoring and logging using
  • Splunk ELK Prometheus Grafana CloudWatch
  • Performance tuning of matchers and batch jobs
  • Rootcause 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
    Required Qualifications
  • 5-10 years of experience in MDM with 5 years in Markit EDM IHS
    Strong expertise in:
  • Core Matcher design
  • Data mastering pipelines
  • WorkflowUI development
  • Handson experience with
  • Kafka or equivalent streaming
  • AWS cloud services
  • REST API development
  • Strong database experience across RDBMS cloud data warehouses
  • Experience with CICD Git Terraform
  • Proficiency in Python or Sparkbased data processing
    Preferred Qualifications
  • Experience with Markit EDM Cloud 19x
  • Strong domain knowledge in
  • Party Client Instrument MDM
  • Experience with:
  • Databricks Snowflake ecosystems
  • Microservices architecture Spring Boot Nodejs
  • Kubernetes containerization
  • Exposure to data governance frameworks Collibra Alation etc
    Key Competencies
  • Deep expertise in Markit EDM modern data ecosystem


The base compensation range for this role in the posted location is: 105,000 - 115,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
Learn more about Capgemini
Industry
Founded
1967
NASDAQ

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