remote
Principal Data Engineer - Extend
Data Engineer
Lead the design and implementation of scalable data pipelines and analytics solutions using Python, AWS services, and SQL, driving insights and data quality for enterprise customers.
About the role
Key Responsibilities
- Architect, develop, and maintain large-scale data pipelines and ETL processes on AWS, ensuring high availability and performance.
- Collaborate with data scientists and product teams to translate business requirements into robust data models and analytics workflows.
- Implement best practices for data governance, security, and compliance across all data assets.
- Mentor and guide junior engineers, fostering a culture of continuous improvement and technical excellence.
- Optimize existing data infrastructure for cost, scalability, and reliability, leveraging AWS services such as Redshift, S3, Glue, and Lambda.
Requirements
- 10+ years of experience in data engineering, with a strong focus on Python and SQL.
- Deep expertise in AWS data services (Redshift, Glue, Athena, S3, Lambda, EMR).
- Proven track record of designing and deploying production-grade data pipelines at scale.
- Strong analytical skills and ability to translate complex business problems into technical solutions.
- Excellent communication skills and experience leading cross-functional teams.
Skills
pythonawssqlanalytics