
Pleno Data Engineer
3 semanas atrás
We are seeking a Data Engineer (short-term contractor) to design and implement data acquisition and ETL processes in Microsoft Azure to support enterprise reporting needs. You will be responsible for integrating multiple technical datasets (ServiceNow, PeopleSoft, and vendor systems) 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.
- 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.
- Hands-on experience with Alteryx for data preparation.
- Prior exposure to healthcare IT data (helpful, but not required).
- 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.
- Work alongside skilled professionals and contribute to meaningful projects.
This position is fully remote and is a PJ contract. Pay range is 25-29/hr USD.
Experience and Qualifications (Examples)- 5+ years of experience as a Data Engineer with minimum 3 years of experience in Azure tool stack (Databricks, ADF, Synapse Analytics).
- Good to have experience with other Azure services (Azure Functions, Event Grid, etc).
- Strong expertise in writing complex SQL and data transformations; ability to review Python and PySpark code.
- Proficient in DevOps CI/CD (high-level understanding).
- Expertise in RDBMS and fundamental knowledge of data warehousing concepts.
- SQL tuning within Data Lake (Delta format) and cost optimization.
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