Role: Data Engineer. Location: Remote, USA. Employment Type: Full-time. Overview: We are seeking a Data Engineer with 8–10 years of experience in manufacturing data integration and real-time data extraction across OT/IT, including hands-on work with shop floor operations, production planning, MES, SCADA, and ERP. Proficiency with industrial protocols (OPC-UA, MQTT, Modbus) and applying OEE, Six Sigma, SPC, and lean methodologies to improve yield, uptime, and efficiency. Data Engineering: Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python skills with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Qualifications: Minimum 8–10 years of experience. Strong SQL and Python proficiency with experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Note: Nagarro is an equal opportunity employer.

Role: Data Engineer. Location: Remote, USA. Employment Type: Full-time. Overview: We are seeking a Data Engineer with 8–10 years of experience in manufacturing data integration and real-time data extraction across OT/IT, including hands-on work with shop floor operations, production planning, MES, SCADA, and ERP. Proficiency with industrial protocols (OPC-UA, MQTT, Modbus) and applying OEE, Six Sigma, SPC, and lean methodologies to improve yield, uptime, and efficiency. Data Engineering: Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong SQL and Python skills with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Qualifications: Minimum 8–10 years of experience. Strong SQL and Python proficiency with experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Note: Nagarro is an equal opportunity employer.