Senior ETL Developer: Data Pipelines & Automation Lead

Capgemini

Atlanta (GA)

On-site

USD 85,000 - 95,000

Full time

14 days+

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Benefits offered by this job

Paid time off
Medical, dental, vision coverage
401(k) retirement plans
Life and disability insurance
Employee assistance programs

Job summary

Capgemini is seeking a skilled data engineer to design, develop, and maintain scalable ETL workflows for data ingestion and integration. You will build data processing solutions using Python and optimize Oracle PL/SQL packages and queries, while automating deployments with Ansible.

You will collaborate with business analysts, architects and DBAs to ensure data governance and high-quality data pipelines, supporting production deployments and incident resolution.

Qualifications

  • Design, develop and maintain scalable ETL workflows for data ingestion, transformation and integration.
  • Build data processing solutions using Python and related frameworks/libraries.
  • Develop and optimize Oracle PL/SQL packages, procedures, functions, triggers and queries.
  • Automate deployment, configuration management and operational processes using Ansible.
  • Perform data modeling, data validation and reconciliation.

Responsibilities

  • Design, develop and maintain scalable ETL workflows.
  • Build data processing solutions using Python.
  • Develop and optimize Oracle PL/SQL packages and queries.
  • Automate deployments and configurations with Ansible.
  • Monitor ETL jobs and troubleshoot performance issues.
  • Collaborate with analysts, architects, DBAs and development teams.
  • Implement data governance, security and compliance standards.

Skills

ETL workflows
Python
Oracle PL/SQL
Ansible
Data modeling
Data validation
Batch processing
Data governance

Tools

Python
Oracle PL/SQL
Ansible

Job description

Capgemini is seeking a skilled data engineer to design, develop, and maintain scalable ETL workflows for data ingestion and integration. You will build data processing solutions using Python and optimize Oracle PL/SQL packages and queries, while automating deployments with Ansible.

You will collaborate with business analysts, architects and DBAs to ensure data governance and high-quality data pipelines, supporting production deployments and incident resolution.

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