As a Data Engineer, you will join our Data Platform team and play a critical role in designing, developing, and optimizing scalable data solutions that power analytics, reporting, and business decision-making.
You will contribute to building a robust and reliable data ecosystem, working closely with cross-functional teams to deliver high-quality data products.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python, PySpark, and Databricks
- Build efficient and reusable data processing and transformation frameworks following engineering best practices
- Collaborate with Data Scientists, Data Analysts, and Software Engineers to deliver robust and scalable data solutions
- Support data modeling activities for analytical and operational use cases
- Deploy and manage data workloads within Azure Cloud environments
- Contribute to CI/CD pipelines and deployment automation using Azure DevOps
- Work within Agile teams, actively participating in sprint ceremonies
- Ensure high standards of code quality, testing, version control, and documentation using Git and modern engineering practices
