Amazon
Data Engineer
- Eligibility
- Not stated
- Batch
- 2021–2025
- Experience
- Not stated
- Pay
- Competitive
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About this role
About the role: - Design, build, and maintain data pipelines that process large-scale datasets across distributed systems - Develop ETL workflows to extract, transform, and load data from multiple sources into data warehouses and lakes - Optimize data storage, retrieval, and query performance for analytics and machine learning applications - Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver solutions that support business intelligence - Monitor data quality, pipeline reliability, and system performance; implement alerting and logging frameworks - Document data schemas, architecture decisions, and operational procedures for team knowledge sharing What we're looking for: - Strong programming skills in Python, Java, Scala, or similar languages used in data engineering - Experience with distributed data processing frameworks such as Apache Spark or Hadoop - Familiarity with SQL and relational databases for data modeling and querying - Understanding of cloud platforms and their data services - Problem-solving ability and attention to detail when working with complex data systems - Ability to communicate technical concepts clearly to cross-functional teams Good to know: - Refer to Job ID 10530755 for complete details at https://www.amazon.jobs/en/jobs/10530755/data-engineer-i-sps