Key skills
AzureCloudETLSQLELTData EngineeringDatabricksGitVersion Control
About this role
Role Overview
- Develop and evolve data ingestion, transformation, and provisioning processes (ETL/ELT)
- Perform extraction, cleaning, formatting, and organization of data from multiple sources
- Work with structured data in the client's catalogs, ensuring consistency and quality
- Develop data solutions within the Databricks environment
- Build and maintain data interfaces and structures to meet regulatory and tax requirements
- Ensure data quality, traceability, and governance across pipelines
- Analyze and resolve data
- and integration-related issues
- Collaborate with engineering, business, and regulatory teams
- Contribute to the evolution of data standards, best practices, and data architecture
Requirements
- Strong experience in data engineering (minimum 5 years)
- Proficiency in building data pipelines (ETL/ELT)
- Experience with Databricks
- Strong SQL skills for data manipulation and transformation
- Experience with Azure Cloud
- Experience in data modeling and organizing datasets
- Data cleansing and standardization
- Data integration between systems and diverse sources
- Version control with Git in a collaborative environment
Tech Stack
- Azure
- Cloud
- ETL
- SQL