Already have an account? Log in
Senior Staff Software Engineer – Data Lakes
Design and build scalable data lake products for thousands of companies
Design, develop, and operate Fivetran’s Managed Data Lake product. You will partner with product teams to build scalable, high-performance systems and set technical standards.
Why This Role?
Advance open-source technologies and set technical standards across the organization
Required Skills
Keywords
View Original Description from Jobicy
Original description from Jobicy
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses,... From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Senior Staff Software Engineer to contribute to the technical architecture, design, operation and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, Postgres, Temporal, gRPC AWS, GCP, Azure, Istio, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate hi
Already have an account? Log in