Azure Data Engineer

  • Los Angeles, CA
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
50 - 60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
100% Travel
Unable to Provide Sponsorship

Skills

Acceptance Testing
Data Flow
Data Quality
Design Review
Mapping
Performance Tuning
Auditing
Apache Spark
Analytics
Agile
Caching

Job Details

Role Summary:

 

Builds, maintains, and optimizes data ingestion pipelines, Lakehouse tables, transformation logic, data quality checks, and operational workflows within Microsoft Fabric. 47

 

Key Responsibilities:

 

·      Architect and maintain medallion data frameworks.

·      Build ingestion pipelines using Data Factory, Spark Notebooks, Dataflows Gen2, Event Streams, and Lakehouse connectors.

·      Develop Silver/Gold transformations including cleansing, enrichment, merging, and standardization.

·      Implement data quality checks, validation rules, auditing columns, and error-handling patterns.

·      Optimize Lakehouse and Delta Lake operations (schema evolution, partitioning, Z-Order, caching, vacuum, compaction).

·      Support production operations including monitoring, incident triage, defect resolution, and performance tuning

·      Create/Maintain mapping sheets, schema documentation, lineage diagrams, and runbooks.

·      Coordinate with analytics teams to prepare model-ready Gold datasets.

·      Participate in Agile ceremonies, design reviews, and technical planning.

·      Support UAT, test data preparation, and validation activities.

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