- Design, build, and maintain scalable data pipelines and ETL processes to ingest, process, and analyze large volumes of data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs.
- Develop and optimize data models, ensuring data quality, integrity, and performance.
- Implement data security and privacy measures to protect sensitive information.
- Monitor and troubleshoot data pipelines to ensure reliability and efficiency.
- Stay updated on emerging technologies and best practices in data engineering and recommend new tools and techniques to enhance our data infrastructure.