Related skills
redshift aws sql s3 python📋 Description
- Design and build scalable data pipelines and infra
- Collaborate with analytics, product, and engineering teams
- Develop and optimize ETL/ELT workflows in SQL and Python
- Schedule, monitor, and troubleshoot Airflow workflows
- Work with Spark, Trino, and AWS data services
- Ensure data quality and governance across datasets
🎯 Requirements
- 1–3 years of data engineering/analytics experience
- Experience building data pipelines in cloud environments
- Proficiency in SQL
- Python for data processing
- Familiarity with Apache Airflow
- Exposure to AWS services (S3, Redshift, Glue, Athena)
🎁 Benefits
- Generous health coverage for you and your family, including disability and life insurance
- 401(k) match after 60 days, 100% vested after 1 year
- HSA contributions and an HRA to offset your deductible
- Flexible vacation policy
- Be More – rewards and recognition program
- Volunteer time off and mental health time
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