Job Title: Hadoop Administrator
Location: Chennai, India
Experience: 5 yrs of experience in IT, with At least 2+ years of experience with cloud and system administration. At least 3 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.
Company: 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 PBs 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.https://smart-analytica.comSMARTAVYA ANALYTICA Smartavya Analytica is a leader in Big Data, Data Warehouse and Data Lake Solutions, Data Migration Services and Machine Learning/Data Science projects on all possible flavours namely on-prem, cloud and migration both ways across platforms such as traditional DWH/DL platforms, Big Data Solutions on Hadoop, Public Cloud and Private Cloud.smart-analytica.com Empowering Your Digital Transformation with Data Modernization and AI
Job Overview: 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.
Key Responsibilities:
Requirement:
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.

Keyskills: Cloudera Hadoop Cluster Hdfs Cdp Hadoop Administration Etl Pipelines Pyspark Hadoop ecosystem Hadoop Kafka YARN Big Data Administration HBase Hive Apache Pig Sqoop Spark Oozie