Azure Data Engineer with (Databricks / SQL / ADF)

Job Title: Azure Data Engineer with (Databricks / SQL / ADF)

Location: Eden Prairie, MN (Hybrid - 3 days’ Work from Office) - In person Interview

Duration: 12+ Months

Job Description:

Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms

Mandatory skills

• 10+ years of experience as a Database Developer or similar role.

• Strong expertise in SQL Server and Azure SQL.

• Advanced proficiency in T-SQL, including performance tuning and query optimization.

• Hands-on experience with Databricks and Apache Spark.

• Solid understanding of data warehousing concepts, dimensional modelling, and SCD.

• Experience working in Azure cloud environments.

• Strong analytical, problem-solving, and communication skills.

Roles and Responsibilities -

• Database Development & Optimization: Design, develop, and maintain complex SQL Server and Azure SQL databases.

• Write and optimize advanced T-SQL queries, stored procedures, functions, and views.

• Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.

• Implement best practices for database security, data integrity, and reliability.

• Cloud & Data Platform: Develop and manage data solutions in Azure SQL Database.

• Work with Databricks (Apache Spark) to support data transformations, analytics, and largescale data processing.

• Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark/SQL where applicable.

• Support cloud-based data architectures and hybrid data environments.

• Data Modelling & Warehousing: Design and maintain relational and dimensional data models.

• Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.

• Support ETL/ELT processes and collaborate with data engineering teams.

• Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.

• Provide guidance and mentoring to junior developers.

• Participate in code reviews and enforce database development standards.

• Troubleshoot production issues and provide root cause analysis.