Loading...
Mid LevelFull-timePythonGoAzureAICI/CDGit
About the Role
We are seeking a Data Engineer to join our team for a niche financial project focused on Customer Registration Transformation management. This role involves developing and maintaining data pipelines in Azure environment while collaborating with business and data science teams.
Key Responsibilities
- →Develop and maintain data pipelines (ETL/ELT) in Azure environment using Databricks for processing and integration
- →Implement CI/CD practices for deployment automation and code versioning with GitHub
- →Design and optimize data models to ensure scalability, performance, and governance
- →Support cloud migration projects while ensuring data security, quality, and integrity
- →Collaborate with business and data science teams for AI model deployment in cloud environment
- →Ensure data quality and consistency by applying data profiling and monitoring techniques
- →Document processes, architectures, and data engineering best practices
Requirements
- ✓Solid experience with Azure Data Services and Databricks
- ✓Proficiency in Python and SQL for data manipulation and transformation
- ✓Knowledge of CI/CD and versioning with GitHub
- ✓Experience in data modeling (conceptual, logical, and physical)
- ✓Experience in cloud migration projects
- ✓Experience with ETL/ELT and integration of large data volumes
- ✓Experience with AI model deployment and tools like Azure ML
Benefits
- ★Health and dental insurance plans
- ★Food and meal vouchers
- ★Childcare assistance
- ★Extended parental leave
- ★Gym partnerships and wellness professionals via Wellhub (Gympass) TotalPass
- ★Profit and Results Sharing (PLR)
- ★Life insurance
- ★Continuous learning platform (CI&T University)
- ★Discount club
- ★Online platform dedicated to physical, mental health and wellness promotion
- ★Parenting and responsible parenthood courses
- ★Partnership with online course platforms
- ★Language learning platform
