Hadoop Admin

This job is with Capco, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. Job Title: Hadoop Admin About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100 clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Title: Hadoop Admin Location: Bengaluru Experience: Min 5yrs Job Description Strong expertise in Install, configure, and maintain Hadoop ecosystem components (HDFS, YARN, Hive, HBase, Spark, Oozie, Zookeeper, etc.). Monitor cluster performance and capacity; troubleshoot and resolve issues proactively. Manage cluster upgrades, patching, and security updates with minimal downtime. Implement and maintain data security, authorization, and authentication (Kerberos, Ranger, or Sentry). Configure and manage Hadoop high availability, disaster recovery, and backup strategies. Automate cluster monitoring, alerting, and performance tuning. Work closely with data engineering teams to ensure smooth data pipeline operations. Perform root cause analysis for recurring system issues and implement permanent fixes. Develop and maintain system documentation, including runbooks and SOPs. Support integration with third-party tools (Sqoop, Flume, Kafka, Airflow, etc.). Participate in on-call rotation and incident management for production support. If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.