Why This Role Stands Out
This hybrid Data Scientist role at ApTask offers significant opportunities for growth and skill development within a reputable technology company. You'll thrive here if you have strong SQL and Python proficiency, experience with cloud data architectures like Databricks or Snowflake, and are eager to build scalable data pipelines in a dynamic environment. Apply now to leverage your expertise and contribute to exciting projects!
Quick Overview
Job Description
Role: Data Scientist
Location: Grand-Prairie, Texas 75050 (Hybrid)
Fulltime
Must have skills:
- Minimum 5+ years of experience (No limit for a right candidate)
- 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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