Senior Data Engineer
Job Summary
To enhance data systems and optimize data products, the fully remote Senior Data Engineer will develop and improve ETL pipelines, storage solutions, and entity resolution processes using AWS technologies such as Airflow, PySpark, and DynamoDB.
Key responsibilities:
- Build infrastructure and data automation pipelines to ingest, process, and load data from various sources
- Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals
- Create unit and stress-test components to monitor technical performance and resolve identified issues
Required qualifications:
- 7+ years of development experience in data engineering within a production environment
- 5+ years of experience with highly scalable, distributed systems and cluster architectures using AWS
- 5+ years of hands-on programming experience with Python
- 5+ years of professional experience working in big data ecosystems, with Spark required and PySpark preferable
- A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field
Complete Job Description
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