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As a Principal Software Engineer at Fivetran, you will lead the design and development of the Data Lake product. Responsibilities include creating scalable data lake systems, collaborating with product teams, contributing to open-source projects, and ensuring operational excellence. This role requires expertise in high-performance data management and strong programming skills in Java and C++.

As a Software Engineer II, you will contribute to building new features for Fivetran's data pipeline service, improve software architecture, debug data replication issues, and maintain reliable operations. You will work with relational databases and enhance existing connectors while building on cloud services.

The Senior Software Engineer will enhance NoSQL data pipeline services by improving performance and reliability, developing new features, mentoring junior engineers, and collaborating with team members on the software development lifecycle while ensuring coding best practices are followed.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran's Data Lake product. Responsibilities include creating scalable data lake systems, collaborating with product teams, contributing to open-source projects, and ensuring operational excellence while driving performance improvements.

The Software Engineer II will join Fivetran's Oracle Connector Team to develop new features for their data pipeline service, improve software architecture, and ensure reliable operation. Responsibilities include debugging data replication, maintaining connectors, and transitioning services to the cloud.

As a Senior Software Engineer at Fivetran, you'll improve NoSQL data pipeline services, enhance reliability and architecture, mentor junior engineers, and deliver high-quality code. Collaborate with a team throughout the software development lifecycle, focusing on clean code and customer satisfaction.

The Principal Software Engineer will lead the technical architecture and development of Fivetran's Data Lake product, ensure high reliability and performance of data lake systems, and collaborate with product teams while mentoring the engineering team.