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Job Details

Skills

Spark
Python
cloud
databricks
snowflake

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91142242
Position Id: 9035743
Posted 5 hours ago

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Ashish Jha

Recruiter @ Digital Janet LLC

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Full Time- Data Engineer

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Ashish Jha

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