Engenheiro de Dados @ FIEMG
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Job Details
Job Overview
The Engenheiro de Dados at FIEMG is responsible for designing, optimizing and maintaining complex SQL queries, developing efficient data pipelines using Python and integrating with multiple sources and APIs.
Main Responsibilities
Create, optimize, and maintain complex SQL queries using tuning techniques and best practices in relational and dimensional data modeling.
Develop efficient data pipelines using Python (pandas, PySpark) for ETL/ELT processes.
Work within Databricks environment by developing notebooks, jobs and workflows while applying performance optimization and versioning best practices.
Implement and manage data integration processes in cloud environments (Azure) ensuring scalability and security.
Collaborate with business areas and clients to understand requirements and translate them into high-performance technical solutions.
Requirements
- University degree in Engineering with a postgraduate specialization in Data Engineering, Machine Learning, Data Lakes/Lakehouses, Big Data, Data Integration, or Process Automation.
- Experience in SQL query creation and data pipeline development.
- Advanced knowledge in SQL and Python for data.
Additional Information
Work model: Home-Office
Salary: R$ 12,566.00 plus benefits including meal voucher/food voucher, health and dental assistance, childcare aid, private pension, transportation voucher, profit sharing program, wellness program, and study opportunities.
Application Deadline: 16/10/2025
Selection Process: Curriculum Analysis, Profile Evaluation, Interviews, Document Verification, and Medical Examination.
FIEMG is committed to an inclusive workplace and encourages candidates with disabilities or those revalidated by INSS to apply.
Key skills/competency
- SQL
- Python
- ETL
- Data Modeling
- Databricks
- Azure
- PySpark
- Data Integration
- Performance Optimization
- Versioning
How to Get Hired at FIEMG
🎯 Tips for Getting Hired
- Customize Resume: Tailor your resume to FIEMG requirements.
- Highlight Skills: Emphasize SQL, Python and data skills.
- Research FIEMG: Study the company’s projects and culture.
- Prepare Examples: Be ready with specific project experiences.