Acceldata
201 - 500 employees
Founded 2018
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Data
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.
Product Support Engineer, Hadoop
🕒 April 20
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Acceldata
201 - 500 employees
Founded 2018
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS • Data
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 • 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.
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