FSSBU - Markit EDM Developer - C2 - LPL
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.
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
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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