Data Engineer
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Role details
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Job description
Data Engineer skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
Requirements
Strong SQL and Python proficiency with hands-on experience in medallion/ Lakehouse architectures on Databricks, Snowflake, AWS, or Azure., Minimum 5+ years of experience (No limit of years of experience for a right candidate who is willing to work as a hands on developer) Strong in SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Preferred Skills: Manufacturing 8 10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction. Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency. Best Regards, Tarun K
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