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...
🎁 Benefits
Acceldata offers performance-based bonuses, ESOPs, and a flexible work schedule. Employees enjoy modern equipment, free lunch, Uber transport faciliti...
🌟 Culture
Acceldata fosters a culture focused on data visibility and performance optimization, driven by a team of industry veterans from Zalando, InMobi, and H...
Support Engineer • Staff
Overview
Acceldata is hiring a Staff Product Support Engineer specializing in Hadoop Operations to design and optimize data processing systems. You'll work with Hadoop, Spark, and Nifi to solve complex data challenges. This role requires hands-on experience and the ability to work in a 24/7 environment.
Job Description
Who you are
You have extensive experience as a Product Support Engineer, particularly with Hadoop and Spark-based systems. Your hands-on expertise allows you to design, optimize, and scale distributed data processing systems effectively. You thrive in a collaborative environment, working closely with customer engineering teams to deliver high-throughput applications. Your problem-solving skills enable you to tackle complex data challenges, especially during migration and upgrades.
You are comfortable working in a 24/7 operational environment, demonstrating flexibility in your working hours to meet customer demands. Your ability to communicate technical concepts clearly makes you a valuable asset to both your team and clients. You understand the importance of building resilient systems and are committed to optimizing performance post-migration.
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 with customer engineering teams to deliver high-throughput applications, ensuring that they meet performance and reliability standards. Your hands-on experience will be crucial in solving complex data challenges related to migration, upgrades, and system performance optimization.
You will also be involved in scaling data processing systems, ensuring they can handle increasing loads while maintaining high performance. Your expertise in Hadoop and Nifi will be essential as you work to build resilient, high-performance distributed data systems. You will need to be proactive in identifying potential issues and implementing solutions to enhance system reliability.
What we offer
At Acceldata, we provide a dynamic work environment where you can grow your skills and advance your career. We value collaboration and encourage our team members to share their insights and expertise. You will have the opportunity to work on cutting-edge technologies and contribute to innovative solutions in the data processing space. We offer competitive compensation and benefits, along with a supportive team culture that prioritizes professional development.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Acceldata.
Similar Jobs You Might Like
Based on your interests and this role
Support Engineer
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.
Support Engineer
Acceldata is hiring a Staff Product Support Engineer to resolve complex customer challenges in cloud ecosystems. You'll work with AWS, Azure, and GCP to ensure seamless operations and impactful business outcomes. This role requires expertise in cloud support and a strong problem-solving mindset.
Product Engineer
Parafin is hiring a Staff Product Engineer to bridge design, product, and backend, ensuring that features work effectively for small businesses. You'll be responsible for the entire frontend experience. This position requires expertise in product implementation and integration.
Support Engineer
Veeva Systems is hiring a Product Support Engineer to support customers and internal teams in the life sciences sector. You'll collaborate with Development and QA teams to troubleshoot and resolve complex issues. This role is open at multiple levels, from Associate to Senior.
Product Support Engineer
Nominal is hiring a Product Support Engineer to provide technical support and enhance customer experience. You'll collaborate with engineering and product teams to resolve complex issues and improve the software based on user feedback.