Job Description

Hadoop Admin

Location:

Bangalore / Pune/ Chennai

Experience

- 7-10 yrs

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.

MAKE AN IMPACT

Hadoop Admin

Location:

Bangalore / Pune/ Chennai

Experience

- 7-10 yrs

JOB SUMMARY:

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.