
Enterprise Data Engineer
1 semana atrás
We are seeking a skilled professional to design and implement data acquisition and ETL processes in Microsoft Azure. The successful candidate will be responsible for integrating multiple technical datasets into a central Azure SQL Database, ensuring cleansed, reliable, and query-ready data is available for downstream dashboards.
Core Responsibilities:
- 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.
- Collaborate with technical staff and SMEs to document sources, transformations, and dependencies.
- Support Power BI developers by delivering clean, structured datasets.
- (Optional) Utilize Alteryx or similar tools for advanced data transformations.
- Provide knowledge transfer to internal teams for sustainability post-engagement.
Required Skills and Qualifications
Key Requirements:
- 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.
- Familiarity with Power BI data models (not visualization).
- Excellent communication skills for collaboration and mentoring.
Benefits
Why Work with Us?
- Opportunity to work on enterprise-scale reporting systems.
- Short-term but impactful contract.
- Work alongside skilled professionals and contribute to meaningful projects.
Others
Interested candidates should apply today and help deliver trusted reporting data for enterprise decision-making.
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