Data Engineer
ripplehire
Job Description
- Design, build, and maintain scalable data pipelines on AWS.
- Develop and manage data ingestion and transformation workflows using AWS Glue.
- Perform large-scale data transformation and processing using Python and related data engineering technologies.
- Work with Amazon S3 for data storage and data lake solutions.
- Develop reliable and efficient ETL/ELT pipelines for large volumes of data.
- Ensure data pipelines are scalable, performant, reliable, and maintainable.
- Collaborate with cross-functional teams to understand data requirements and deliver effective data solutions.
- Monitor, troubleshoot, and optimize data pipelines and transformation workflows.
- Work with data visualization and analytics solutions such as Amazon QuickSight.
- Explore and integrate emerging AWS capabilities, including AWS Bedrock, where applicable.