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Senior Data Analyst (Experiment & Growth Analytics) - Remote
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AI Summary
Build a self-serve data platform on Azure for a public sector client, focusing on CDC, event streaming, and data product governance. Design data mesh architecture, engineer pipelines for CDC/streaming, and onboard pilot domains. Requires 6+ years in data engineering with deep Azure/Databricks experience and certifications.
Key Highlights
Design data mesh architecture on Azure with Databricks/Fabric
Build CDC/streaming pipelines for OLTP sources (SQL Server, Oracle)
Develop reusable data product templates with PySpark/SQL on Delta Lake
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Key Responsibilities
Design data mesh architecture and self-serve data layer on ADLS Gen2
Develop CDC and streaming ingestion pipelines for OLTP sources
Build reusable data product templates and onboard pilot domains
Technical Skills Required
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Nice to Have
Data contracts, schema evolution, and automated data quality
Microsoft Purview and governance automation
Public sector/multi-agency data experience
Job Description
Position Summary
A public sector client is building a shared, self-serve data platform on Azure. You will capture transactional data from agency systems with change data capture (CDC) and event streaming, publish it as governed data products, and onboard the first pilot domain, built to scale as more agencies join.
Responsibilities
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