Overview:
We are looking for a
Senior Data Engineer to join the Data Factory team, contributing to the design, development, and maintenance of data pipelines within a banking environment. The role requires strong expertise in data processing, ETL workflows, and legacy data ecosystems, with a focus on reliability, performance, and collaboration within agile teams.
Key Responsibilities:
- Design, develop, and maintain data pipelines and ETL processes
- Work with large-scale data environments using Teradata and Ab Initio
- Ensure data quality, integrity, and performance optimization
- Manage and schedule workflows using Control-M
- Contribute to documentation, architecture, and technical design
- Collaborate with cross-functional teams within the Data Factory
- Participate in agile ceremonies and continuous improvement initiatives
Key Requirements:
- Strong expertise in SQL (Teradata)
- Experience with Teradata environments
- Hands-on experience with Ab Initio
- Experience with Control-M (job scheduling)
- Solid knowledge of Unix environments
- Familiarity with CI/CD practices (basic level)
- Experience with collaboration tools: Git, Jira, Confluence, MEGA, Zeenea
Nice to Have:
- Experience with Datastage
Other Details:
Full-time position with a hybrid working model, requiring a minimum of
2 days/week on-site. The role is situated within a dynamic banking environment.