About Acceldata
Empowering data teams for better insights
Key Highlights
- Headquartered in Campbell, CA with 201-500 employees
- $105.6 million raised in Series C funding
- AI and machine learning-driven data observability platform
- Offers ESOPs and performance-based bonuses
Acceldata is an enterprise data observability platform headquartered in Campbell, CA, that empowers data teams to optimize their data products. With $105.6 million raised in Series C funding, Acceldata serves clients by leveraging AI and machine learning to enhance data visibility and performance, h...
π Benefits
Acceldata offers performance-based bonuses, ESOPs, and a flexible work schedule. Employees enjoy modern equipment, free lunch, Uber transport faciliti...
π Culture
Acceldata fosters a culture focused on data visibility and performance optimization, driven by a team of industry veterans from Zalando, InMobi, and H...
Skills & Technologies
Overview
Acceldata is seeking a Staff Product Support Engineer specializing in Hadoop to design, optimize, and scale data processing systems. You'll work with Hadoop and Spark technologies to solve complex data challenges in a collaborative environment.
Job Description
Who you are
You have extensive experience as a Product Support Engineer, particularly with Hadoop and Spark, and you thrive on solving complex data challenges. Your hands-on expertise in designing and optimizing distributed data systems sets you apart, and you are comfortable collaborating with engineering teams to deliver high-performance applications. You understand the intricacies of data migration and upgrades, and you are adept at ensuring system reliability and performance post-migration.
You possess a strong analytical mindset, allowing you to troubleshoot and resolve issues efficiently. Your ability to communicate technical concepts clearly to both technical and non-technical stakeholders makes you an invaluable asset to any team. You are committed to continuous learning and staying updated with the latest advancements in data processing technologies.
What you'll do
In this role, you will be responsible for designing and optimizing Hadoop and Spark-based data processing systems. You will collaborate closely with customer engineering teams to deliver high-throughput applications that meet their needs. Your focus will be on building resilient and scalable data systems, ensuring they perform optimally during and after migration processes. You will also tackle complex challenges related to system upgrades and reliability, leveraging your expertise to enhance performance.
You will engage in hands-on work, applying your knowledge of Hadoop and Spark to develop solutions that address customer requirements. Your role will involve not only technical problem-solving but also providing guidance and support to engineering teams as they implement data solutions. You will play a key role in ensuring that the systems you help design and optimize are robust and capable of handling high data volumes efficiently.
What we offer
At Acceldata, you will be part of a forward-thinking team that values innovation and collaboration. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a supportive environment where your contributions are recognized and valued, and you will have the chance to work on cutting-edge data solutions that make a real impact in the industry.
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