Key Responsibilities

• Implement data flows to connect operational systems, analytics, and BI systems.

• Document source-to-target mappings and build streaming data systems.

• Write ETL scripts and optimize ETL processes.

• Develop reusable business intelligence reports and accessible data.

• Apply data profiling techniques and model complex systems for analysis.

• Design, build, and test large-scale data integration services.

• Adopt innovative data tools and practices at appropriate times.

• Design scalable and resilient data integration technologies.

• Build and align data models across teams and repositories.

• Resolve data-related issues and design metadata repositories.

• Apply programming and build practices with moderate-to-complex scripts.

• Review requirements and define test conditions for data engineering work.

Required Skills

• Azure DevOps, Terraform, Azure Data Factory, Azure Databricks

• Programming in Scala, Python, .NET Core

• Experience with Power BI Embedded

• Strong understanding of metadata management, testing, and data innovation practices

Behavioral Attributes

• Results-driven with strong follow-through and commitment to delivery.

• Takes ownership and accountability for outcomes.

• Continuous learning and process improvement mindset.

• Curious and innovative approach to data solutions.