Lead ETL Developer

Job Title: Lead ETL Developer

Location: Onsite - 4days in a week (onsite (Columbus OH or Atlanta GA or Akron OH or Detroit MI or Chicago IL or Charlotte NC or Dallas TX or Minneapolis MN).

Required Skills
AWS Snowflake and Python-based frameworks

Key Responsibilities

• Technical Leadership & Delivery
  • Lead the design development and maintenance of ETL/ELT pipelines in the EDW ecosystem
  • Ensure alignment to enterprise data architecture standards and best practices
  • Drive solution design from requirements and data mapping documents to scalable technical implementations
• Development & Engineering Excellence
  • Build and optimize data pipelines using AWS Glue Snowflake Python/PySpark and IBM DataStage
  • Implement reusable metadata-driven and performance-optimized data integration patterns
  • Enforce coding standards version control and CI/CD practices
• Data Quality Testing & Observability
  • Define and implement unit testing regression testing and data validation strategies
  • Partner with QA to support system and integration testing efforts
  • Troubleshoot and resolve data and pipeline issues across development QA and production environments
• Collaboration & Communication
  • Work closely with Product Owners BSAs architects and upstream/downstream teams to deliver end-to-end solutions
  • Communicate progress risks and blockers clearly to stakeholders and leadership
  • Support production operations including incident triage and root cause analysis
• Continuous Improvement & Innovation
  • Identify opportunities to improve performance reliability and scalability of data pipelines
  • Contribute to modernization efforts (cloud migration Snowflake optimization automation)
  • Stay current on industry trends and emerging technologies in data engineering
• People Leadership & Mentorship
  • Mentor and coach junior and mid-level developers on technical skills and best practices
  • Provide technical guidance and code reviews to ensure quality and consistency
  • Lead development efforts on key initiatives and serve as a project-level technical lead

Basic Qualifications:

• Bachelors Degree
• 5 years of ETL/Data Engineering experience in enterprise data warehouse environments or an additional 4 years of related work experience may be considered in lieu of the Bachelors Degree
• 5 years of experience with SQL and Database development.
• 5 years of hands on-experience with Python/PySpark and ETL tools.
• 3 Years of experience with cloud-based data platforms

Preferred Qualifications

• Strong understanding of Data Warehousing Concepts modeling and SDLC methodologies.
• Proven experience leading development teams or acting as a technical lead on large-scale data initiatives
• Experience with AWS services (Glue S3 EC2) and Snowflake architecture optimization
• Knowledge of data pipeline observability monitoring and automated testing frameworks
• Experience defining future-state data architecture or modernization roadmaps
• Familiarity with CI/CD pipelines DevOps practices and version control systems
• Understanding of data governance security and regulatory considerations in financial services
• AWS Certifications (Solutions Architect DevOps Engineer) preferred
• Prior experience in banking or financial services industry

Thanks

Required Skills:

Enterprise Data WarehouseEDWArchitectureQAdeliver high-qualityreliable data solutionsSDLCAWSSnowflakePython-based frameworksDesigndevelopmentOptimizationscalable data pipelines