- ETL Pipeline & Architecture: Design, optimization, and testing of extraction, transformation, and loading workflows across complex data sources.
- Python Slicing & Automation: Robust proficiency in Python for data manipulation, scripting, integration, and process automation.
- Data Quality & Governance: Deep understanding of data consistency, integrity checks, and Customer Data Platform (CDP) principles.
Key Responsibilities:
- Lead the design and development of end-to-end ETL workflows aligned with business requirements.
- Enforce data governance standards, code reviews, and optimal data quality across systems.
- Monitor, troubleshoot, and optimize data pipeline performance.
- Mentor junior team members and collaborate with cross-functional data engineering teams.