Brooksource
Senior Data Engineer
Azure Data Warehouse (57+ Years Experience) Start Date: Jan. 5th, 2026 Long term renewing contract
Location: onsite, downtown Indianapolis Azure-based data warehouse and dashboarding initiatives. Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server Apply Medallion architecture principles and best practices for data lake and warehouse design Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions Develop and maintain CI/CD pipelines for data workflows and dashboard deployments Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments Mentor junior team members and promote best practices in data modeling, cleansing, and promotion Support dashboarding initiatives with Power BI and wireframe collaboration Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience 57+ years in data engineering, data warehouse design, and ETL development Strong expertise in Azure Data Factory, Data Bricks, and Python Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards Proven experience with Medallion architecture and data Lakehouse best practices Hands-on with CI/CD, DevOps, and deployment automation Agile mindset with ability to manage multiple priorities and deliver on time Excellent communication and documentation skills Bonus Skills Experience with GCP or AWS Familiarity with Jira, Confluence, and AppDynamics
Azure Data Warehouse (57+ Years Experience) Start Date: Jan. 5th, 2026 Long term renewing contract
Location: onsite, downtown Indianapolis Azure-based data warehouse and dashboarding initiatives. Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server Apply Medallion architecture principles and best practices for data lake and warehouse design Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions Develop and maintain CI/CD pipelines for data workflows and dashboard deployments Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments Mentor junior team members and promote best practices in data modeling, cleansing, and promotion Support dashboarding initiatives with Power BI and wireframe collaboration Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience 57+ years in data engineering, data warehouse design, and ETL development Strong expertise in Azure Data Factory, Data Bricks, and Python Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards Proven experience with Medallion architecture and data Lakehouse best practices Hands-on with CI/CD, DevOps, and deployment automation Agile mindset with ability to manage multiple priorities and deliver on time Excellent communication and documentation skills Bonus Skills Experience with GCP or AWS Familiarity with Jira, Confluence, and AppDynamics