Senior Data Engineer - Remote Manufacturing Analytics

Tech Junction Ltd

Northern (KY)

Remote

USD 140,000 - 180,000

Full time

9 days ago

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Job summary

ErayTec seeks an experienced Sr. Data Engineer to own end-to-end data pipelines for OEE, Connected Worker, and Golden Batch analytics. You will lead design and delivery of production-grade data workflows using Spark, Python, and SQL on Azure Data Factory and Azure Databricks.

Remote role supporting US operations with strong collaboration across engineering and business teams. You will optimize data architecture, ingest high-frequency telemetry, and ensure data quality and performance in a

Qualifications

  • 7+ years of total IT experience with 5+ years in data engineering.
  • Proven proficiency in Spark, Python and SQL for production-grade pipelines.
  • Experience designing pipelines for manufacturing metrics (OEE, Connected Worker, Golden Batch).

Responsibilities

  • Design, develop, test and deploy production-grade data pipelines and architectures.
  • Build pipelines for OEE metrics, Connected Worker events and Golden Batch data.
  • Implement and optimize cloud-native workflows using Azure Data Factory and Azure Databricks.
  • Model and ingest time-series manufacturing data and telemetry patterns.
  • Ensure scalability, fault tolerance and data quality across clusters.
  • Collaborate with cross-functional teams in a remote environment.
  • Maintain technical docs and data governance standards.
  • Perform code reviews and performance tuning for large data jobs.

Skills

Apache Spark
Python
SQL
Azure Data Factory
Azure Databricks

Education

Bachelor’s or Master’s degree in CS/SE/IT

Tools

Azure Data Factory
Azure Databricks

Job description

ErayTec seeks an experienced Sr. Data Engineer to own end-to-end data pipelines for OEE, Connected Worker, and Golden Batch analytics. You will lead design and delivery of production-grade data workflows using Spark, Python, and SQL on Azure Data Factory and Azure Databricks.

Remote role supporting US operations with strong collaboration across engineering and business teams. You will optimize data architecture, ingest high-frequency telemetry, and ensure data quality and performance in a

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