Databricks Developer

• Design develop maintain and optimize data solutions on the Databricks platform.
• Build and manage end-to-end ETL/ELT pipelines using Databricks PySpark and SQL.
• Develop and maintain data ingestion transformation and publishing processes from multiple data sources.
• Implement and optimize Delta Lake structures data models and Data Lakehouse architectures.
• Develop Change Data Capture (CDC) historization reconciliation and data quality processes.
• Ensure data traceability consistency monitoring logging and operational support across the entire data lifecycle.
• Troubleshoot production incidents perform data recovery activities and ensure platform stability.
• Optimize processing performance resource utilization and platform costs.
• Contribute to development standards automation CI/CD practices and technical best practices.
• Provide technical leadership mentoring and guidance to team members.

Qualifications :

• 5 years of experience in Data Warehouse Big Data or enterprise data platform development.
• 23 years of hands-on experience with Azure Databricks.
• Proven experience delivering complex Data Warehouse Data Mart Data Lake or Data Lakehouse projects.
• Strong expertise in PySpark Advanced SQL Delta Lake Data Modeling ETL/ELT processes and Data Quality frameworks.
• Experience building and managing end-to-end data pipelines and orchestration solutions.
• Solid understanding of Data Lakehouse architecture data governance and data quality principles.
• Experience with Git Jira and modern software development practices.
• Ability to take full ownership of technical deliveries and drive solution implementation independently.
• Strong analytical problem-solving communication and collaboration skills.
• Experience in the banking sector including retail banking financial reporting risk compliance and regulatory reporting is considered a strong advantage.
• Additional experience with Azure Data Factory Kafka Event Streaming CI/CD Unity Catalog Machine Learning on Databricks or Qlik Sense is a plus.

Additional Information :

• Full access to foreign language learning platform
• Personalized access to tech learning platforms
• Tailored workshops and training to sustain your growth
• Medical insurance
• Meal tickets
• Monthly budget to allocate on flexible benefit platform
• Access to 7 Card services
• Wellbeing activities and gatherings

Remote Work :

No

Employment Type :

Full-time