Data Engineer – Wind Telemetry & Azure Databricks

Overview

We’re managing high-volume wind turbine data and need an expert to ensure our timeseries and SCADA event data pipelines are robust and performant. 

Job Description

We’re managing high-volume wind turbine data and need an expert to ensure our timeseries and SCADA event data pipelines are robust and performant. 
Tasks:
Process and analyze high-volume timeseries data and SCADA alarms of RWEs global Wind Fleet
Build high-performance pipelines directly within Azure Databricks.
Develop rigorous SQL-based data quality testing to catch sensor drifts and data gaps.
Move beyond "scripts" to production-grade Python/PySpark workflows and CI/CD.
Skills:
Databricks: Python, Spark, Delta Lake
SQL Power User: You use SQL not just for queries, but for advanced data validation and quality frameworks.
Timeseries Expert: Deep experience handling telemetry, sensor logs, and alarm hierarchies.
Domain Knoweldge: Experience in the Wind Industry is the "Golden Ticket"—General SCADA/Manufacturing experience is the silver.

Skills & Requirements

Azure Databricks, Python, PySpark, Apache Spark, Delta Lake, Advanced SQL, Data Quality Frameworks, Time Series Data Processing, SCADA Data, Telemetry And Sensor Data, Alarm And Event Hierarchies, High-Volume Data Pipelines, CI/CD Pipelines, Production-Grade Data Workflows, Azure Cloud, Wind Industry Domain Knowledge, SCADA Manufacturing Systems

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