Full Time- Data Engineer

Role: Data Engineer
Location: Remote, USA (Frequent travel anywhere in USA – one or two weeks in a month)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP

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.

Job Overview:

• 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.

Good to Have:

• 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.

Regards,

Deepak Kumar