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Senior Data Engineer - Amazon.com
Data Engineer
Senior Data Engineer driving AI‑powered analytics for Amazon Fuse, leveraging Python, SQL, AWS, and Spark to build scalable data pipelines and deliver actionable insights to subscription‑based business stakeholders.
About the role
Key Responsibilities
- Design, develop, and maintain large‑scale data pipelines using Python, SQL, and Apache Spark on AWS to support subscription analytics.
- Collaborate with product, engineering, and business teams to translate ambiguous business questions into robust data models and dashboards.
- Implement data quality, lineage, and governance practices across the data lake and warehouse.
- Optimize query performance and storage costs for high‑volume, real‑time analytics workloads.
- Mentor junior engineers and champion best practices in data engineering and DevOps.
Requirements
- 5+ years of experience in data engineering, with a strong focus on cloud (AWS) and big data technologies.
- Proficiency in Python, SQL, and Spark for data transformation and processing.
- Hands‑on experience building and maintaining data warehouses (Redshift, Snowflake) and data lakes (S3, Lake Formation).
- Solid understanding of data modeling, ETL design, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally with stakeholders.
Skills
pythonsqlawsapache spark