- Designing, building, and optimizing data pipelines and ETL processes.
- Developing and maintaining data platforms and warehousing solutions.
- Implementing scalable data storage solutions.
- Enhancing performance in data processing workflows.
- Collaborating with data scientists, analysts, and stakeholders.
- Ensuring data quality, governance, and compliance.
- Supporting CI/CD processes for data pipeline deployments.
- Conducting code reviews and enforcing best practices.
- Assisting with defining structured source code management.
- Working with Technical Leaders in project execution.
PythonSQLETL+5 more