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Data Engineer - Data Platform Management - Amazon.com
Data Engineer
Lead cross‑functional data engineering initiatives for a global grocery tech platform, driving scalable data integration, reporting, and analytics solutions on AWS using Python, SQL, and Spark.
About the role
Key Responsibilities
- Lead medium to large data integration, reporting, and analytics projects, ensuring alignment with global grocery business objectives.
- Design, develop, and maintain scalable ETL pipelines and data models on AWS, leveraging Python, SQL, and Spark.
- Collaborate with data scientists, product managers, and business stakeholders to translate requirements into robust data solutions.
- Participate in on‑call rotation to support custom reporting and analytical applications, ensuring business‑as‑usual operations.
- Implement best practices for data quality, governance, and security across the data platform.
Requirements
- 5+ years of experience as a data engineer in a large, distributed environment.
- Proficiency in Python, SQL, and Spark for data processing and transformation.
- Hands‑on experience with AWS services (Redshift, S3, Glue, EMR, Athena).
- Strong understanding of data modeling, ETL design, and data warehousing concepts.
- Excellent communication skills and ability to work collaboratively across teams.