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Senior Data Engineer - Azure Databricks - Utility

E & E SOLUTIONS, LLC
Sacramento, CA, United States
3 months 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
indeed.com

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 Apache Spark Data Lakes
+4 more
Pyspark 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

Do you have experience in Spark?, * 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

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Moments

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