Senior Data Engineer - Azure Databricks - Utility
E & E SOLUTIONS, LLC
Sacramento, CA, United States
about 1 month ago
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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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