Hadoop Product Support Engineer

Job not on LinkedIn

🕒 April 17

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Acceldata

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Acceldata is a leading enterprise data observability company that provides comprehensive solutions for ensuring data quality, reliability, and cost efficiency in multi-cloud and hybrid data environments. Acceldata's platform offers observability across various aspects of data operations, including data quality, pipeline, infrastructure, user, and cost observability. By integrating seamlessly with cloud platforms, data warehouses, and BI tools, Acceldata helps enterprises manage large-scale data operations, enhance data reliability, and optimize performance. With a focus on improving data infrastructure reliability and efficiency, Acceldata supports a wide range of industries, including financial services, manufacturing, consumer packaged goods, retail, and life sciences.

📋 Description

• Take ownership of complex customer environments • Mentor junior team members • Drive the reliability of Hadoop and Spark-based data processing systems • Collaborate closely with customer engineering teams to deliver high-throughput Hadoop and Spark applications • Solve complex data challenges during migration and upgrades • Ensure reliability and optimise post-migration system performance

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• Equitable workplace that welcomes individuals from all walks of life.