Note: The job is a remote job and is open to candidates in USA. Nagarro is a Digital Product Engineering company that is scaling significantly. They are seeking a Senior Staff Engineer specializing in Data Engineering to build scalable cloud data pipelines for high-volume manufacturing and IoT data.

Responsibilities

• 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
• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake
• Strong SQL and Python proficiency with hands-on experience in medallion/ lakehouse architectures on Databricks, Snowflake, AWS, or Azure

Skills

• Minimum 8 - 10 years of experience
• Strong in SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure
• Manufacturing 8–10 years in manufacturing 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
• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake

Company Overview

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