About the role
Requirements:
- 4+ years of experience in data engineering, ETL development, or a closely related role.
- Strong hands-on experience building data pipelines on AWS cloud platforms.
- Proficiency with ETL/ELT frameworks and workflow orchestration tools.
- Experience working with lakehouse or data lake architectures and multi-zone storage patterns (landing, raw, enriched/curated).
- Solid programming skills in Python and/or SQL; familiarity with CLI and infrastructure-as-code tools is a plus.
- Experience with structured, unstructured, and semi-structured data processing.
- Familiarity with data governance, data quality, and metadata management concepts.
- Understanding of streaming and real-time data processing patterns.
- Ability to work effectively in a large, cross-functional, and matrixed enterprise environment.
- Strong problem-solving skills and attention to detail.