Senior Data Engineer - Azure Databricks - Utility

E & E SOLUTIONS, LLC
Sacramento, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$120,000.0 - $125,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Code Review Information Engineering Extract Transform Load (ETL) Java Database Connectivity Python (Programming Language) Microsoft SQL Server Open Database Connectivity SQL Databases Data Streaming Data Lakes Pyspark
+3 more
Apache Kafka Data Pipelines Databricks

Job description

  • Design and develop scalable ETL/ELT pipelines
  • Build integrations using APIs, Kafka, Event Hub, and Databricks Connect
  • Lead SQL Server to Databricks migration initiatives
  • Develop Delta Lake data models and medallion architecture
  • Conduct code reviews and mentor junior engineers
  • Support data quality and operational excellence

Requirements

  • 10+ years of Data Engineering experience
  • 3+ years of Azure Databricks experience
  • Expert-level PySpark, SQL, Python, and Delta Lake skills
  • Experience with APIs, streaming, ODBC/JDBC integrations
  • Utility industry experience highly preferred

Certifications

  • Databricks Data Engineer Professional Certification required

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