Data​/BI Engineer – INTL Brazil

Job Description

Insight Global is looking to add a Data/Power BI Engineer to join their client's Data & Analytics organization. This person will play a key role in a large-scale data modernization initiative, beginning with the migration of legacy brewing and packaging supply chain data from a MicroSQL environment into a new Brew Dat Lakehouse platform. They will be responsible for building and maintaining data ingestion pipelines, supporting ETL processes, and leveraging Git Hub for CI/CD and version control.

They should be comfortable reading and troubleshooting Python code, querying and validating data across source and target systems, and investigating data discrepancies to ensure successful migration outcomes.

A significant portion of the role will focus on migrating existing Power BI datasets, reports, and models to the new Lakehouse architecture while performing quality control testing to ensure reporting accuracy and performance. As the migration progresses, they will transition into new development efforts, including designing and building Bronze, Silver, and Gold medallion data layers to support analytics and reporting across brewing and packaging operations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 3+ years of Data Engineering experience
• Proficient in SQL, with the ability to write complex queries
• Experience with Databricks
• PowerBI experience
• DAX Experience
• Python experience
• Tabular Editor