Data Engineer IV
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Job Description
Data Engineer IV developing scalable data pipelines and orchestration frameworks at Rackspace Technology. Leading teams in data governance and managing analytics workloads across Azure and Databricks.
Responsibilities:
- Lead end-to-end development of scalable data pipelines
- Design and implement Structured Streaming applications in Spark
- Collaborate on data governance and asset organization
- Manage Microsoft Fabric capacity and resource utilization
- Design and optimize Databricks dashboards and reporting artifacts
- Lead and mentor a team of data engineers
- Establish standards for data quality and governance
Requirements:
- 10+ years of hands-on experience in data engineering on Azure
- Deep expertise in Azure Data Factory, Synapse, Databricks, and Microsoft Fabric
- Proven experience with real-time data processing and streaming architectures
- Strong proficiency in Spark (PySpark), SQL, and cloud storage
- Solid knowledge of Unity Catalog for data governance
- Experience with Databricks Dashboards
- Expertise in scalable, fault-tolerant data solutions
Benefits:
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development
- Wellness programs
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