Enterprise Data Engineer
Job Description:
A data engineer will be responsible for designing and implementing data acquisition and ETL processes in Microsoft Azure to support enterprise reporting needs.
The ideal candidate will have experience with Microsoft Azure, advanced SQL skills, and proven ETL development experience. They will also be able to apply data governance and quality checks to ensure dataset accuracy and consistency.
* Build and maintain ETL pipelines in Azure Data Factory (or equivalent) to automate ingestion from APIs, files, and vendor systems.
* Develop and optimize SQL stored procedures, scheduled jobs, and views in Azure SQL Database.
* Apply data governance and quality checks to ensure dataset accuracy and consistency.
Required Skills and Qualifications:
* Strong experience with Microsoft Azure (Data Factory, SQL Database, Blob/Data Lake).
* Advanced SQL (stored procedures, scheduled jobs, indexing, views).
* Proven ETL development experience (batch + scheduled pipelines).
* Solid understanding of data governance, lineage, and quality frameworks.
Benefits:
* Opportunity to work on enterprise-scale reporting systems.
* Fully remote role based out of Brazil (supporting EST/CST hours).
* Short-term but impactful 4–5 month contract.
Why Choose Us?
Our team offers a collaborative and supportive environment, allowing you to grow professionally while delivering meaningful projects.