Job Description
Data Engineer, Mid-level
BIP Brasil
• Develop and maintain ETL/ELT processes to integrate data from multiple systems. • Design analytical data stores for consumption in Power BI and other analytics tools. • Build scalable, high-performance, and maintainable data models. • Create executive dashboards, metrics, and KPI frameworks. • Perform complex analyses to identify inconsistencies, integration failures, and data quality issues. • Investigate root causes of discrepancies between systems and propose corrective actions. • Work with large volumes of data, complex relationships, and performance optimization. • Implement transformations using SQL, Power Query, and Python when necessary. • Work on the semantic layer using Azure Analysis Services (when applicable). • Participate in defining data architecture and modeling best practices. • Document processes, business rules, data flows, and analytical models. • Collaborate with multidisciplinary teams on strategic Analytics and Business Intelligence projects. • Support less experienced colleagues by sharing knowledge and best practices.
Job Requirements
- Education: Bachelor’s degree completed — candidates from all fields are welcome.
- Solid experience in Data Engineering and Business Intelligence.
- Advanced SQL.
- Experience developing ETL/ELT processes.
- Knowledge of Terraform for infrastructure deployment.
- Dimensional modeling (Star Schema and Snowflake).
- Experience with Power BI.
- Development of transformations using Power Query.
- Knowledge of Python for automation and data processing.
- Version control using Git.
- Knowledge of data warehouse modeling and design.
- Experience working with large data volumes.
- Ability to analyze inconsistencies and troubleshoot data pipelines.
- Good technical and functional documentation skills.
- Ability to suggest new approaches, whether technical or technological, to evolve BI and data engineering practices and add value to users and clients.
- Analytical mindset.
- Excellent problem-solving skills.
- Good communication with technical and business areas.
- Comfortable working in multidisciplinary teams.
- Organized and able to prioritize.
- Ability to lead technical discussions.
- Proactive and autonomous.
- Focus on quality and continuous improvement.
Benefits
- All Points (points program for flights and accommodations);
- Medical insurance;
- Dental insurance;
- Life insurance;
- Pet care plan;
- Mobility (including fuel option and Uber, 99);
- Flex Reimbursement (glasses, vaccinations, education, events, and more);
- Meal allowance and/or food voucher;
- Birthday off;
- Gympass;
- Financial advisory and facilitated loans;
- Alelo Club with various discounts in stores and pharmacies;
- 180 days maternity leave;
- 30 days paternity leave;
- Childcare assistance during the baby’s first year;
- Transportation allowance according to project or area needs;
- Annual bonus program;
- Commission for referring new clients.
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