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Senior Data Engineer: Kubernetes Pipelines & Lakehouse

Summary

Senior data engineer designing and optimizing end-to-end data pipelines using SQL Server, Python, Kubernetes, Airflow, Spark, and lakehouse architectures on-premise.

Trinity Consulting Services Pte. Ltd. seeks a senior data engineer to design and optimize end-to-end data pipelines. The role requires 8+ years in IT with 5+ years in data engineering, strong SQL Server skills, and Python for production-grade pipelines.

The candidate will work on on-premise, lakehouse architectures, and implement CI/CD, Airflow orchestration, Spark processing, and data governance measures.

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