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Principal Software Engineer – Data Lakes

CompraTica Empleos

EMP:Technology
EMEA, Germany
Tiempo Completo
Remoto
1 vistas

Descripción

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.

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the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies

We’re seeking a Principal Software Engineer to contribute to the technical architecture, design 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, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand.

Requisitos

and design cutting-edge new capabilities that go directly into customer’s hands

Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team.

Contribute to open-source projects such as DuckDB and Polaris.

Embrace Fivetran innovations with open-source standards and toolsets.

Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.

  • Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.

Set technical directions and influence cross-functional teams.

Habilidades

We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems

Deep understanding of in.

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