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aws sql python kafka spark📋 Description
- Design, build, and run large-scale batch and real-time data pipelines.
- Take ownership of data domains from ingestion to serving layers.
- Ensure high reliability, observability, and maintainability of data systems.
- Lead design discussions and review complex architectures.
- Mentor IC3 engineers; raise engineering bar.
- Proactively identify and drive platform improvements.
🎯 Requirements
- 6–10 years in data engineering or distributed systems
- Python and/or Java coding
- Deep SQL optimization on large datasets
- Hands-on Spark, Kafka, Hive, Presto
- AWS experience (S3, EMR, Redshift, EC2)
- Streaming vs batch trade-offs and data SLAs
🎁 Benefits
- Health coverage for full-time employees
- Paid parental leave and generous PTO
- Quarterly self-care days off
- Stock options
- Equipment and support for remote or office work
- Learning & development via LinkedIn Learning
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