Key skills
ETLOraclePythonSQLSSISELTData EngineeringData WarehousingGitBitbucketVersion Control
About this role
Role Overview
- Perform and document detailed data analysis to support business requirements
- Design, define and validate data models for multiple financial use cases
- Develop and maintain ETL/ELT processes using SSIS and Python
- Contribute to data warehouse and datamart design
- Industrialize and automate data feeds to ensure reliability and scalability
- Optimize SQL queries and improve performance (efficient memory and processing practices)
- Ensure best practices in version control using Git (preferably Bitbucket)
- Provide support and troubleshooting for data pipelines and production incidents
- Monitor and maintain data processing workflows to ensure stability and performance
- Identify and implement process optimization and improvement measures
- Collaborate with other IT stakeholders to enhance data architecture and standards
- Ensure data consistency, quality and governance across systems
- Contribute to documentation and knowledge sharing within the team
Requirements
- At least 3+ years of experience in data engineering or similar roles
- Advanced SQL knowledge (mandatory)
- Strong experience in Oracle environments (mandatory)
- Professional experience with SSIS (minimum 2 years)
- Professional experience with Python
- Data warehousing concepts (ETL/ELT, datamarts, modeling)
- Performance tuning and query optimization
- Version control using Git (Bitbucket preferred)
Tech Stack
- ETL
- Oracle
- Python
- SQL
- SSIS
Benefits
- Health insurance
- TR card
- CSE
- Pension plan
- Continuous training opportunities
- Inclusion, equality, solidarity