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As a Software Engineer II at Fivetran, you'll help build new features for the data pipeline service, improve software architecture, and ensure reliable operation. You'll dive into data replication, maintain existing connectors, and contribute to a world-class ELT solution for Oracle systems in a hybrid work environment.

As a Software Engineer II, you will enhance Fivetran's data pipeline service by developing new features, improving software architecture, and maintaining service reliability, focusing on data replication and ELT solutions for Oracle systems.

As a Principal Software Engineer, you will lead the architecture, design, and development of data lake products, ensuring customers have reliable access to queryable data. You will work on optimizing systems for performance and reliability, collaborate with product teams, and contribute to open-source projects while setting technical directions.

The Senior Software Engineer at Fivetran will enhance NoSQL data pipeline services by driving performance improvements and building new features. Responsibilities include writing code, automated tests, mentoring junior engineers, and collaborating with team members across the software development lifecycle.

The Principal Software Engineer will lead the design and development of Fivetran’s Data Lake product, collaborating with teams to enhance data accessibility. Responsibilities include ensuring scalability and operational excellence of data lake systems, analyzing performance, and influencing cross-functional teams.

The Software Engineer II will work on the Oracle Connector Team to enhance the data pipeline service, focusing on data replication, improving software architecture, and building features that ensure reliable operation. The role emphasizes data analytics facilitation and contributions to product reliability.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran's Data Lake product, ensuring queryable data without transformations. Responsibilities include collaborating with product teams, developing large-scale data lake systems, contributing to open source, and driving performance and operational excellence.