Responsabilidades
Designed and implemented highly efficient database solutions, supporting systems with [X] concurrent users and processing [Y] transactions per second.
Developed ETL pipelines for seamless data integration from disparate sources, enabling real-time analytics for [specific business purpose].
Reduced query execution times by [X]% through advanced performance tuning and index management.
Led database migration projects from on-premises SQL Server to Azure SQL Database, improving system reliability and scalability.
Collaborated with developers and business analysts to create data models aligning with business requirements.
Requisitos
- Minimum 3-4 years experience in a Data Engineering or BI position - must
- Strong proficiency in SQL for querying, analyzing, and transforming data – must
- Proficiency in SQL scripting languages (e.g., T-SQL, PL/SQL) and database management systems (e.g., Microsoft SQL Server, Oracle). - must
- Knowledge in data modeling and DWH design - must
- Knowledge of data quality techniques and data monitoring design - must
- Experience in developing efficient ETL and pipeline processes - must
- Experience with BI tools such as Tableau, Looker or similar - must
- Knowledge in building pipelines in Airflow - must
- Experience with Python - must
- Bachelor’s Degree in Science/Data Systems Management/Industrial Engineering and Management
- Good comprehension of data, and how to tell the story behind it
- Professional level of English C1- must