Sr. Data Engineer

Overview

Sr. Data Engineer to build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS platform.

What you'll do

• Participate in the end-to-end data pipeline lifecycle, focusing on data lakes and data warehouses.
• Lead code and design reviews with junior and peer developers.
• Develop data pipelines and infrastructure as code by writing clean code.
• Collaborate with cross-functional teams to gather requirements and design solutions.
• Monitor and troubleshoot performance, scalability, and security issues.
• Participate in evaluation of new technologies and tools to improve system performance.
• Contribute to data lake platform design and documentation.

What you'll need

• Minimum 5 years of related experience (or 3 years plus an advanced degree).
• Bachelor’s degree in engineering, computer science, math, data engineering, or related field (or equivalent work experience).
• Experience in modern data architecture and data governance (including AI/ML-related areas).
• AWS big data technology experience including EMR, Glue, S3, EKS, Lambda, Athena, RDS, and MKS/Kafka/Kinesis.
• In-depth knowledge of the data engineering process (design, development, deployment).
• SQL proficiency and Python experience.
• Experience with DevOps (CI/CD, containerized deployment/Kubernetes, and infrastructure-as-code).

Details

• Work mode: remote in the US.