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# Data Engineer - Azure Databricks & SQL Server

- **Company:** E-Solutions
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Microsoft Azure, Code Coverage, Continuous Integration, Data Validation, Extract Transform Load (ETL), Software Debugging, Distributed Computing Environment, Python (Programming Language), Microsoft SQL Server, SQL Azure, Performance Tuning, Query Optimization, Azure Data Lake, Data Logging, Pulumi, Azure Data Factory, Sql Optimization, Data Lakes, Pyspark, Integration Tests, Infrastructure Automation Frameworks, Data Pipelines, Databricks
- **Published:** June 26, 2026
- **Apply:** https://www.dice.com/job-detail/d934a4fe-3fbb-4a35-93ac-50e4036b339b

## About the Role

* Strong knowledge of ETL/ELT concepts: pipeline design, incremental loads, data validation, troubleshooting.
 * Advanced SQL: CTEs, joins, views, query optimization, performance tuning.
 * Python: Production-grade coding, APIs, testing, logging, CI/CD, unit/integration testing, code coverage.
 * PySpark: Distributed data processing, performance optimization, debugging, CI/CD, automated testing.
 * Azure Data Factory (ADF): Pipeline development, parameterization, triggers, monitoring, error handling, integration with Databricks & ADLS.
 * Databricks: Notebooks, jobs/workflows, Delta Lake, cluster/job configuration.
 * Azure: ADLS Gen2, Azure Portal, Storage Explorer, Azure SQL, Azure OpenAI integration, Pulumi for infrastructure provisioning.

## Description

Senior Data Engineer - Azure Databricks & SQL Server(Onsite at Chicago,IL)1SQL,Azure,Python,etl,Pyspark,Data Engineer,azure data factory,Databricks,adfN/AC2CUnited States


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