Product Support Engineer (Hadoop)

About the role

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, 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. Acceldata is an equal opportunity employer At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities. Life @ Acceldata #LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an 'out-of-the-box' mindset. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Acceldata is the place to be! We also believe in providing our employees with the right tools and resources to help them excel at their job. What should you know about joining Acceldata? At Acceldata, each job and role serves a purpose towards our business goals. You'll have opportunities to make an immediate impact on mission-critical projects as you work with highly capable and ambitious peer groups.

Requirements

• Experience: 5+ years of hands-on experience working with hadoop environments
• Technical proficiency in core hadoop services (HDFS, YARN, and Hive/Impala) and good working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
• Extensive experience in troubleshooting and debugging hadoop components,
• Linux: Advanced skills in configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.
• Good to have proficiency in Python, Bash, or Scala for system automation and performance monitoring.

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