Senior Software Engineer - Connectors at Fivetran

<div class="content-intro"><p>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.</p></div><p><span style="font-size: 10pt;"><strong>About Us</strong></span></p> <p><br><span style="font-size: 10pt;">Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.</span><br><span style="font-size: 10pt;">Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. </span></p> <p><span style="font-size: 10pt;">Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. </span></p> <p><span style="font-size: 10pt;">As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.</span><br><span style="font-size: 10pt;">​</span><br><span style="font-size: 10pt;">During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.</span></p> <p><span style="font-size: 10pt;"><strong>About the Role</strong></span></p> <p><span style="font-size: 10pt;">Fivetran is building data pipelines to power the modern data stack for thousands of companies.</span></p> <p><span style="font-size: 10pt;">We're looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues.</span></p> <p><span style="font-size: 10pt;">This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.</span></p> <p><span style="font-size: 10pt;"><strong>Technologies You'll Use</strong></span></p> <p><span style="font-size: 10pt;">Java, SQL, Kubernetes, Docker, AWS, GCP, CircleCI.</span></p> <p><span style="font-size: 10pt;"><strong>What You'll Do</strong></span></p> <p><span style="font-size: 10pt;">You'll be working with Cloud APIs, SQL, and NoSQL databases, events, etc.</span></p> <p><span style="font-size: 10pt;">You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouses</span></p> <p><span style="font-size: 10pt;">You will process the data into clean, incremental, automated updates</span></p> <p><span style="font-size: 10pt;"><strong>Skills We're Looking For</strong></span></p> <p><span style="font-size: 10pt;">Strong technical and problem-solving skills, with recent hands-on software development experience</span></p> <p><span style="font-size: 10pt;">Experience in reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs</span></p> <p&g

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