Administrator Manager

2 weeks ago

Mumbai, India Smart Analytica Full time

Role: Hadoop Admin Manager - CDP Years of Experience: 10-15 Yrs Shifts: 24*7 (Rotational Shift) Experience : 10+ yrs of experience in IT, with At least 7+ years of experience with cloud and system administration. At least 5 years of experience with and strong understanding of ‘big data’ technologies in Hadoop ecosystem – Hive, HDFS, Map/Reduce, Flume, Pig, Cloudera, HBase Sqoop, Spark etc. Smartavya Analytica Private limited is a niche Data and AI company. Based in Pune, we are pioneers in data-driven innovation, transforming enterprise data into strategic insights. Established in 2017, our team has experience in handling large datasets up to 20 PB’s in a single implementation, delivering many successful data and AI projects across major industries, including retail, finance, telecom, manufacturing, insurance, and capital markets. We are leaders in Big Data, Cloud and Analytics projects with super specialization in very large Data Platforms. Empowering Your Digital Transformation with Data Modernization and AI Smartavya Analytica Private Limited is seeking an experienced Hadoop Administrator to manage and support our Hadoop ecosystem. The ideal candidate will have strong expertise in Hadoop cluster administration, excellent troubleshooting skills, and a proven track record of maintaining and optimizing Hadoop environments. Monitor and manage Hadoop cluster performance, capacity, and security. • Implement and maintain data ingestion processes using tools like Sqoop, Flume, and Kafka. • Maintain documentation of Hadoop environment configurations, processes, and procedures. Experience in Installing, configuring and tuning Hadoop distributions. • Hands on experience in Cloudera. • Understanding of Hadoop design principals and factors that affect distributed system performance, including hardware and network considerations. • Provide Infrastructure Recommendations, Capacity Planning, work load management. • Manage large clusters with huge volumes of data • Create and removal of nodes, cluster monitoring and troubleshooting • Should have Conceptual/working knowledge of basic data management concepts like ETL, Ref/Master data, Data quality, RDBMS • Working knowledge of any scripting language like Shell, Python, Perl • Should have experience in Orchestration & Deployment tools. Academic Qualification: BE / B.Tech in Computer Science or equivalent along with hands-on experience in dealing with large data sets and distributed computing in data warehousing and business intelligence systems using Hadoop.

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