Senior ETL Developer

CapgeminiAtlanta, GA
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. Location: Charlotte, NC.

Requirements

  • Design develop and maintain scalable ETL workflows for data ingestion transformation and integration
  • Build custom data processing solutions using Python and related frameworks libraries
  • Develop and optimize Oracle PLSQL packages procedures functions triggers and queries
  • Automate application deployment configuration management and operational processes using Ansible
  • Perform data modeling data validation and reconciliation activities
  • Create and support batch processing frameworks and scheduling solutions
  • Develop reusable Ansible playbooks roles and inventories for infrastructure and application automation
  • Monitor ETL jobs and troubleshoot performance bottlenecks failures and data quality issues
  • Collaborate with business analysts architects DBAs and development teams to gather requirements and implement solutions
  • Implement data governance security and compliance standards
  • Participate in code reviews and establish best practices for ETL development and automation
  • Support production deployments and provide incident resolution for critical data pipelines

Responsibilities

  • Design develop and maintain scalable ETL workflows for data ingestion transformation and integration
  • Build custom data processing solutions using Python and related frameworks libraries
  • Develop and optimize Oracle PLSQL packages procedures functions triggers and queries
  • Automate application deployment configuration management and operational processes using Ansible
  • Perform data modeling data validation and reconciliation activities
  • Create and support batch processing frameworks and scheduling solutions
  • Develop reusable Ansible playbooks roles and inventories for infrastructure and application automation
  • Monitor ETL jobs and troubleshoot performance bottlenecks failures and data quality issues
  • Collaborate with business analysts architects DBAs and development teams to gather requirements and implement solutions
  • Implement data governance security and compliance standards
  • Participate in code reviews and establish best practices for ETL development and automation
  • Support production deployments and provide incident resolution for critical data pipelines

Benefits

  • Paid time off based on employee grade (A-F), depending on grade
  • Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
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