Senior Software Engineer - Data Analytics

<div class="content-intro"><p><strong>Life at Plume</strong></p> <p><span style="font-weight: 400;">At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.</span></p> <p><span style="font-weight: 400;">We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. </span></p> <p><span style="font-weight: 400;">With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.</span></p></div><p></p> <h4 data-start="51" data-end="132">This is a work-from-office / In-Office role based in our Hyderabad, India location.</h4> <p></p> <div class="p-rich_text_section">Plume’s Cloud Platform team is looking for engineers to build and operate data pipelines that power the gamut of Plume products and analytics. Due to the massive scale and performance requirements of many of our use cases, you will be solving challenging problems on a daily basis using a variety of cutting edge technologies.<br><strong data-stringify-type="bold">What you will do:</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Interact with stakeholders to gather and understand data requirements</li> <li data-stringify-indent="0" data-stringify-border="0">Design and implement data pipelines with high data quality goals</li> <li data-stringify-indent="0" data-stringify-border="0">Maintain up-to-date documentation of data warehouse schemas</li> <li data-stringify-indent="0" data-stringify-border="0">Write clean, maintainable code, and perform peer code-reviews</li> <li data-stringify-indent="0" data-stringify-border="0">Refactor code as needed to improve performance and simplify operations</li> <li data-stringify-indent="0" data-stringify-border="0">Provide production support in triaging and fixing issues relating to data quality and availability</li> <li data-stringify-indent="0" data-stringify-border="0">Mentor and assist junior team members and new hires to become successful and productive</li> <li data-stringify-indent="0" data-stringify-border="0">Adhere to data protection requirements including data access, retention, residency and de-identification</li> <li data-stringify-indent="0" data-stringify-border="0">Play an integral role in driving the technology roadmap and enhancing best practices</li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">What You’ll Bring</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field</li> <li data-stringify-indent="0" data-stringi ... (truncated, view full listing at source)