Amazon Web Services (AWS), Cloud Computing, Data Management, Diversity, ERP (Enterprise Resource Planning), Engineering, Information Technology & Information Systems, Internet of Things, Lean Manufacturing, Manufacturing, Microsoft Windows Azure, Operations Planning, Product Development, Product Engineering, Production Planning, Production Systems, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Six Sigma, Supervisory Control and Data Acquisition (SCADA)
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Role: Data Engineer
Location: Remote, USA
Duration: Fulltime Employee
Job Overview:
- 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.
Must have 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.
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.