We are seeking an experienced ETL Lead to design, develop, and manage enterprise-scale data integration solutions. The ideal candidate will lead ETL development initiatives, mentor team members, collaborate with business and data stakeholders, and ensure high-quality data movement across multiple source and target systems. The ETL Lead will play a critical role in driving data modernization, data warehousing, reporting, analytics, and cloud migration initiatives.
Responsibilities:
- Lead the design, development, testing, deployment, and support of ETL/ELT solutions.
- Analyze business requirements and translate them into scalable data integration architectures.
- Develop and optimize ETL workflows, mappings, transformations, and data pipelines.
- Ensure data quality, integrity, governance, and compliance across data platforms.
- Collaborate with business analysts, data architects, data engineers, and application teams.
- Perform root cause analysis and resolve complex production issues.
- Drive ETL performance tuning and optimization initiatives.
- Establish coding standards, best practices, and development guidelines.
- Lead code reviews and mentor junior ETL developers.
- Support data migration, modernization, and cloud transformation projects.
- Manage project deliverables, timelines, and stakeholder communications.
- Implement CI/CD and DevOps practices for ETL deployment and monitoring.
- Create and maintain technical documentation, data flow diagrams, and operational procedures.
Skills:
- Strong experience in ETL development and leadership.
- Expertise in one or more ETL tools:
- Informatica PowerCenter / IICS
- Talend
- SSIS
- IBM DataStage
- Ab Initio
- AWS Glue
- Matillion
- Strong SQL and database programming skills.
- Knowledge of Data Warehousing and Dimensional Modeling concepts.
- Experience working with large-scale data integration and migration projects.
- Strong understanding of data quality and data governance principles.
- Experience with scheduling and orchestration tools such as Control-M, Airflow, or Autosys.
- Familiarity with source control tools like Git, Azure DevOps, or Bitbucket.
Experience with relational databases:
- Oracle
- SQL Server
- PostgreSQL
- MySQL
Knowledge of cloud platforms:
- Azure
- AWS
- Google Cloud Platform