Why this role stands out
Accelerate your career as a Data Engineer with Tekaccel, Inc., where you will leverage cutting-edge cloud architectures and IoT technologies to drive high-impact innovations in a collaborative manufacturing environment. This role is perfect for a skilled professional seeking to sharpen their expertise in scalable data pipelines while enjoying comprehensive benefits and relocation support. Apply today to join a forward-thinking team and take the next big step in your professional journey.
Quick overview
Job description
Role: Data Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee
Note: Relocation assistance will be provided by Client.
As part of our commitment to our employees, Client provides a robust benefits package for full-time employees, which includes:
- Medical Coverage, Dental and Vision (100% Client contribution for the employee, 80% contribution for immediate dependents).
- 15 days of Paid Time Off (PTO).
- 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
- 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).
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.
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