
10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
🔥 2 minutes ago
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10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
• Manufacturing operations expertise with a focus on shop floor and production planning • Develop and maintain cloud data pipelines for IoT data • Collaborate with teams to ensure efficient data flow • Analyze and drive improvements in yield, uptime, and efficiency • Work with various industrial protocols and tools to gather and process data
• 8–10 years in manufacturing (optional) • Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP • Proficient in industrial protocols (OPC-UA, MQTT, Modbus) • Ability to bridge OT/IT systems for real-time data extraction • Applied experience with OEE, Six Sigma, SPC, and lean methodologies • 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
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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