Senior Data Engineer - Azure Databricks - Utility

E & E SOLUTIONS, LLC
Sacramento, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 125K

Job location

Sacramento, United States of America

Tech stack

API
Code Review
Information Engineering
ETL
Java Database Connectivity
Python
Microsoft SQL Server
Open Database Connectivity
SQL Databases
Data Streaming
Spark
Data Lake
PySpark
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

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