Related skills
redshift aws etl sql nosql📋 Description
- Build, automate, and manage near-real-time data ingestion pipelines.
- Develop cloud-native big data environments on AWS for scalable systems.
- Lead data governance and data profiling for data lineage.
- Collaborate with Data Scientists, BI teams, and PMs on data models.
- Design ETL processes using Spark, Python, and SQL.
- Ensure data availability, quality, monitoring, and CI/CD.
🎯 Requirements
- Bachelor's in CS/IT plus 8+ years of relevant data engineering experience.
- Proficiency in SQL, PL/SQL, and Python.
- Experience with AWS services: S3, Glue, Data Catalog, Redshift, Athena.
- Relational DB expertise: Postgres, Oracle, MySQL, SQL Server; design/optimization.
- ETL development experience using Spark, Python, SQL.
- Data governance and data security best practices.
- Experience building scalable data pipelines and big data processing.
- Strong cross-team communication and stakeholder collaboration.
🎁 Benefits
- Salary: $140,000 – $165,000 per year
- Target compensation: $156,750 based on experience
- Retirement package and ESOP
- Medical, dental, and vision insurance
- Other pre-tax contribution plans
- Remote-first with hybrid office options
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