Data Engineer - Data Intelligence

As a Data Engineer, you will play a crucial role in implementing data flows to connect operational systems, analytics, and BI systems. Your key responsibilities will include:

• Documenting source-to-target mappings and building streaming data systems.
• Writing ETL scripts, optimizing ETL processes, and developing reusable business intelligence reports.
• Applying data profiling techniques, modeling complex systems for analysis, and designing, building, and testing large-scale data integration services.
• Adopting innovative data tools and practices, designing scalable and resilient data integration technologies, and aligning data models across teams and repositories.
• Resolving data-related issues, designing metadata repositories, and applying programming and build practices with moderate-to-complex scripts.
• Reviewing requirements and defining test conditions for data engineering work.

Qualifications required for this role include proficiency in:

• Azure DevOps, Terraform, Azure Data Factory, and Azure Databricks.
• Programming in Scala, Python, and .NET Core.
• Experience with Power BI Embedded.
• Strong understanding of metadata management, testing, and data innovation practices.

The company values individuals who are results-driven with strong follow-through, take ownership and accountability for outcomes, have a continuous learning and process improvement mindset, and possess a curious and innovative approach to data solutions. As a Data Engineer, you will play a crucial role in implementing data flows to connect operational systems, analytics, and BI systems. Your key responsibilities will include:

• Documenting source-to-target mappings and building streaming data systems.
• Writing ETL scripts, optimizing ETL processes, and developing reusable business intelligence reports.
• Applying data profiling techniques, modeling complex systems for analysis, and designing, building, and testing large-scale data integration services.
• Adopting innovative data tools and practices, designing scalable and resilient data integration technologies, and aligning data models across teams and repositories.
• Resolving data-related issues, designing metadata repositories, and applying programming and build practices with moderate-to-complex scripts.
• Reviewing requirements and defining test conditions for data engineering work.

Qualifications required for this role include proficiency in:

• Azure DevOps, Terraform, Azure Data Factory, and Azure Databricks.
• Programming in Scala, Python, and .NET Core.
• Experience with Power BI Embedded.
• Strong understanding of metadata management, testing, and data innovation practices.

The company values individuals who are results-driven with strong follow-through, take ownership and accountability for outcomes, have a continuous learning and process improvement mindset, and possess a curious and innovative approach to data solutions.