Senior Data Engineer, AWS Lakehouse
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Job Description
Senior Data Engineer developing a modern data platform on AWS for lakehouse architecture. Overseeing design, build, and operation from ingestion to BI delivery.
Responsibilities:
- Build and maintain a medallion architecture (landing/integrated/reporting) on S3 using Apache Iceberg
- Develop and operate data pipelines using dbt-core running against Athena
- Implement ingestion patterns using AWS AppFlow, DMS, and custom Lambda functions
- Design incremental load and merge logic for CDC data streams
- Optimize query performance for BI consumption (partitioning, aggregation, file compaction)
- Build orchestration workflows using Step Functions
- Establish data quality testing, monitoring, and alerting
- Support PowerBI integration and troubleshoot refresh issues
- Document data models and maintain lineage
Requirements:
- 5+ years working with cloud data platforms (AWS strongly preferred)
- Production experience with dbt (dbt-core or dbt Cloud)
- Strong SQL skills including window functions, CTEs, and incremental/merge patterns
- Hands-on experience with at least one modern table format (Iceberg, Delta, or Hudi)
- Familiarity with Athena, Glue, or similar serverless query engines
- Experience with CDC pipelines and handling SaaS data sources
- Working knowledge of Python for custom ingestion and tooling
- Understanding of BI tool requirements and how to optimize serving layers for reporting
- Upper-Intermediate/B2 English across all four skills
Benefits:
- Opportunity to work remotely
- Overlap with EST working hours
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