FSSBU - Markit EDM Developer - C2 - LPL

Capgemini
Fort Mill, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 115K

Job location

Fort Mill, United States of America

Tech stack

Java
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Database
Code Review
Databases
Continuous Integration
Data Governance
Data Infrastructure
ETL
Data Transformation
Relational Databases
DevOps
Github
Hive
Python
PostgreSQL
Microsoft SQL Server
Node.js
Octopus Deploy
Oracle Applications
Performance Tuning
Scrum
Prometheus
Standard Sql
SQL Stored Procedures
Data Streaming
Enterprise Data Management
Data Logging
Data Processing
Snowflake
Grafana
Spring-boot
Indexer
Gitlab
GIT
Cloudformation
Containerization
Data Lake
PySpark
Material Design
Kubernetes
Infrastructure Automation Frameworks
Data Lineage
Collibra
Deployment Automation
Amazon Web Services (AWS)
Kafka
Cloudwatch
REST
Terraform
Splunk
Software Version Control
Serverless Computing
Docker
Jenkins
Confluent
Databricks
Microservices

Job description

  • 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
  1. 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
  1. 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
  1. 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
  1. 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, * 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
  1. 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
  1. Containerization Platform Engineering
  • Work with Docker Kubernetes EKSAKS for
  • Microservices deployment
  • Integration layers around EDM
  • Enable scalable resilient cloudnative deployments
  1. 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
  1. 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
  1. 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

  • 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

Benefits & conditions

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.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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