Senior Azure Data Engineer

Location: Downtown Chicago/60606 (3 days onsite Tues, Wed, Thurs)

Key Responsibilities: Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing). Develop and optimize SQL and PySpark/Databricks transformations for large datasets. Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling). Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations). Provision and maintain Azure components using Pulumi (Infrastructure as Code). Participate in code reviews, documentation, and operational support (triage + root cause analysis).Must-have Skills (Required)5+ years' experience as a data engineer 3+ years doing ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting. 3+ years in SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation. 2+ years using Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage). PySpark: Distributed transformations and performance optimization (joins, partitions, debugging), CICD, Unit Test/Integration test automation, Code Coverage. 1+ years using Azure Data Factory (ADF): Build/operate ADF pipelines, parameterization, triggers, monitoring, retry/error handling; integrate with Databricks/ADLS. 1+ year using Databricks: Develop and operationalize notebooks/jobs/workflows; Delta Lake patterns; basic cluster/job configuration. Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments. Nice-to-have SkillsR: Ability to support/translate validation rules with SQL scripts and create data quality reports. TypeScript: Useful for pulumi pipeline to create Azure components. Java: Useful for integration with existing services/components. .NET: Useful for integration with existing services/components. Angular / Spring Boot: Minor troubleshooting or coordination with app teams.