Data Engineer-Full Time- Onsite Role

Grand Prairie, TX, US • Posted 2 days ago • Updated 2 days ago
Full Time
Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Production Planning
  • Python
  • Real-time
  • SCADA
  • Snow Flake Schema
  • Statistical Process Control
  • Manufacturing
  • Microsoft Azure
  • Modbus
  • OEE
  • OPC
  • Amazon Web Services
  • Apache Kafka
  • Apache Spark
  • Cloud Computing
  • Data Engineering
  • Data Extraction
  • Databricks
  • Enterprise Resource Planning
  • IoT
  • Lean Methodology
  • MES
  • MQTT
  • SQL
  • Six Sigma

Summary

About Company:

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 (18000 plus experts across 40 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: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Must have skills:

  • Minimum 5+ 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.

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.

Piyush Verma Associate Staff Consultant
Email:

Contact: +1

LinkedIn:

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: 10171369
  • Position Id: 9104434
  • Posted 2 days ago
Contact the job poster
Bhushan Lele

Bhushan Lele

Recruiter @ Nagarro Inc
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