Job Description

Data Engineering Leadership

• Lead enterprise data integration and modernization initiatives.
• Design and implement cloud-native ETL architectures.
• Drive migration efforts from legacy platforms to modern Data Engineering solutions.

Analytics Enablement

• Partner with BI teams to design scalable reporting and semantic data models.
• Establish best practices for Power BI and Tableau data consumption layers.
• Optimize enterprise reporting performance.

Architecture & Modern Platforms

• Architect end-to-end solutions leveraging:

AI-Driven ETL Modernization

• Drive adoption of AI-enabled development practices.
• Lead ETL migration projects using Generative AI-assisted code conversion and test automation.
• Develop intelligent monitoring, reconciliation, and anomaly detection capabilities.

Leadership & Mentorship

• Establish development standards and governance policies.
• Mentor ETL Developers and ETL Analysts.
• Participate in hiring, technical assessments, and onboarding.

Additional Technical Skills (Senior ETL Developer)

Required

• 7+ years of Data Integration and Data Engineering experience
• Expert in Talend and/or Informatica
• Advanced SQL expertise
• Python and PySpark
• PostgreSQL and Oracle
• Databricks
• Snowflake
• Power BI and Tableau
• Azure Data Factory and/or AWS Glue
• Apache Airflow
• Git, CI/CD, DevOps

Preferred

• Microsoft Azure Data Engineer Certification
• AWS Data Analytics Certification
• SnowPro Certification
• Experience with Collibra, Alation, or Informatica Data Governance
• Experience leading ETL modernization programs