Key Skills & Competencies
Industry specific skills
- Preferably background from Banking
- Experience working with Data Products
Personal skills
Communicative skills
- Presentation skills and the ability to adapt communication to the target group
- Very good communication and presentation skills with proven ability to collaborate with cross-functional teams
Leadership and collaboration skills
- Ability to collaborate and work effectively in teams
Technical skills
Azure Databricks with Unity Catalog
- Expertise in Azure Databricks: Extensive experience with Azure Databricks for data engineering, data science, and analytics solutions.
- Unity Catalog: Proficiency in using Unity Catalog for comprehensive data governance, access control, and lineage tracking across multiple environments.
Pipelines: Skilled in designing and implementing CI/CD pipelines using tools like Azure DevOps, GitHub Actions.
Cloud Data Architecture
- In-depth knowledge of Azure Cloud architecture, including services like Azure Data Lake and Blob Storage.
- Hands-on experience in designing and deploying scalable, cloud-native data pipelines for large datasets.
Technical Proficiencies
- Languages: Python, SQL,
- Tools & Platforms: Azure Databricks, Unity Catalog, Data Lake, Azure SQL Database, Git, Azure DevOps,
- Version Control: Git
- CI/CD Tools: Azure DevOps
- ETL: IDMC Data Integration
Experience Summary
- 5+ years of hands-on experience in delivering end-to-end data solutions using Azure technologies.
- Expertise in Azure Databricks with Unity Catalog for large-scale data processing and governance.
- Advanced skills in Python and SQL for efficient data transformation and analysis.
- Strong experience CI/CD pipelines, and working in Git-based environments for efficient deployment.
- Driving best practices in code quality, data architecture, and DevOps.