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As a Software Engineer II, you will develop new features for the data pipeline service, enhance software architecture, ensure reliable operation, and conduct deep investigations into data replication for Oracle systems.

The Systems Support Specialist I role involves providing technical support and troubleshooting for Salesforce systems and other applications. This includes handling daily issues, performing root cause analysis, and ensuring users effectively use the technology resources available. The position requires a proactive approach to identifying process improvements and maintaining system performance, all while ensuring timely response and resolution of user inquiries.

The Senior Software Engineer will build and maintain data pipelines from various sources to data warehouses. Responsibilities include writing Java code, enhancing features, reviewing code, mentoring junior colleagues, and contributing to architectural design.

The Sales Operations Analyst II at Fivetran will support the Go-to-Market organization by optimizing revenue initiatives, collaborating with various teams, ensuring data integrity in Salesforce, and documenting processes for better efficiency and growth.

The Software Engineer II role at Fivetran involves developing enterprise-grade software, focusing on performance engineering. Responsibilities include debugging code, analyzing system metrics, designing performance tests, and collaborating with cross-functional teams to improve product performance and reliability.

As a Salesforce Architect, you will enhance the Salesforce CRM for a global business, focusing on systems integration, leading architectural strategies, mentoring engineers, and collaborating with various teams to drive operational efficiency. You'll also resolve complex technical challenges and ensure compliance with governance standards.

The Principal Software Engineer will lead the architecture and development of Fivetran’s Data Lake product, ensuring reliable and high-performance data pipelines. Responsibilities include designing scalable data lake systems, collaborating with product teams, and optimizing infrastructure for performance and availability.