Data Platform Engineer

Remote Full-time AI & Data

Key Responsibilities

Build, test, and maintain data pipelines and data integration workflows using tools like Spark / PySpark, Airflow, NiFi, Kafka, etc.
Work with Hive, Iceberg, SQL for data storage, querying, and table formats / lakehouse architectures.
Integrate batch and streaming data sources, ensuring data quality, consistency, and integrity.
Optimize performance of ETL / data jobs — tuning Spark jobs, memory, partitions, resource utilization.
Ensure data security, compliance, and governance (access controls, encryption, compliance standards).
Work with infrastructure / DevOps teams to deploy, monitor, and scale platform components.
Troubleshoot production issues, perform root cause analysis, and implement fixes.
Document processes, technical designs, runbooks, and best practices.
Mentor junior engineers and contribute to architecture discussions.
Stay current with emerging data technologies and propose adoption when applicable.

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