Acceldata
Location
Bangalore | India
Job description
About Us:-
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products. Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures. Position Summary:- Acceldata is building the data observability cloud for global enterprises. As a staff engineer, you will own the core Acceldata platform data engine. We’re looking for people with a strong background or inclination towards data engineering; you’re comfortable in dealing with lots of moving pieces and have a solid understanding of modern Data management systems. Designing, coding, and debugging software. Investigating software-related complaints and making necessary adjustments to ensure optimal software performance. Dive deep into open-source data engines and work on optimizing their performance. Design, build and maintain low-latency APIs Work closely with our customers and sales teams regularly to carve out new features and use cases Work with database systems, RDBMS, Mongo, and Elastic Search. Develop services that will be consumed by frontend and solution engineers Regularly attending team meetings to discuss projects, brainstorm ideas, and put forward solutions to any issues. What makes you the right fit for this position?9+ years of solid development expertise in one or more generic programming languages is required. JVM (Java, Scala, Kotlin) Strong data structure, algorithm design, and problem-solving basics in computer science. Hands-on experience with managed cloud technologies. Strong knowledge of distributed systems, expertise shipping enterprise software, SQL competence, and general experience working with data storage and retrieval systems Worked extensively on data platform and data orchestration systems.Job tags
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