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Home›Jobs›Acceldata›Staff Product Support Engineer - Hadoop Operations
Acceldata

About Acceldata

Empowering data teams for better insights

🏢 Tech👥 201-500 employees📅 Founded 2018📍 Pruneyard / Dry Creek, Campbell, CA💰 $105.6m⭐ 4
B2BArtificial IntelligenceEnterpriseBig dataSaaSData AnalysisCloud Computing

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...

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Acceldata

Staff Product Support Engineer - Hadoop Operations

Acceldata • California

Posted 2 months ago🏛️ On-SiteLeadSupport engineer📍 California
Apply Now →

Job Description

We are seeking a Staff Product Support Engineer / Product Specialist - Hadoop Operations SME who will be responsible for designing, optimizing, migrating, and scaling Hadoop and Spark-based data processing systems. This role involves hands-on experience with Hadoop and other core data operations, focusing on building resilient, high-performance distributed data systems.

You will collaborate with customer engineering teams to deliver high-throughput Hadoop, Nifi, and Spark applications and solve complex data challenges in migration, upgrades, reliability, and optimise post-migration system performance.

This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand. Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.

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