Description
You will build and manage scalable data infrastructure to support ingestion, processing, and analysis.
You will own the release pipeline.
Responsibilities
- Develop and maintain scalable data pipelines for efficient ingestion and processing.
- Collaborate with cross-functional teams to define and deliver data requirements.
- Perform data analysis to identify trends and support decision-making.
- Optimize query performance and data processing workflows to reduce latency.
Required Skills
- 5+ years of experience in data engineering with an emphasis on data analysis.
- Proficiency in Python and SQL for data manipulation and scripting.
- Hands-on experience with AWS services including Redshift, S3, EC2, and Glue.
- Proven ability to optimize the performance and scalability of data pipelines and databases.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Skills
- Advanced degree in a technical field.