About the Company
Wipro is a global leader in information technology, consulting, and business process services. With a workforce of over 220,000 professionals across six continents, Wipro specializes in harnessing emerging technologies like cloud, analytics, cognitive computing, and hyper-automation to help businesses transform and thrive in the digital world. Recognized for its comprehensive service portfolio, Wipro works with clients worldwide to build innovative solutions, ensuring sustainable growth and long-term success. As a company, Wipro is committed to fostering diversity, inclusivity, and sustainability across its global operations.
About the Role
A Hadoop Admin is required for a global leader in IT services, consulting, and business process solutions. The role will involve performing Big Data Administration and Engineering tasks across platforms like Hadoop, Kafka, HBase, and Spark. The successful candidate will possess strong troubleshooting, debugging, and root cause analysis skills. This position will focus on ensuring system performance, scalability, and high availability, while developing automation scripts and optimizing data processing systems.
Key Responsibilities
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Administer and engineer Hadoop, Kafka, HBase, and Spark platforms.
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Troubleshoot major production incidents and perform root cause analysis.
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Plan and implement capacity expansions and system upgrades to prevent issues.
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Automate repetitive tasks and reduce manual errors.
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Set up observability and alerting to proactively identify and resolve performance issues.
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Collaborate with Level 3 teams to review new use cases and enhance platform reliability.
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Develop standard operating procedures for platform management and utilization.
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Utilize DevOps tools for incident, problem, and change management.
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Ensure the Hadoop platform meets performance and service level agreement (SLA) requirements.
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Implement security remediation, automation, and self-healing as required.
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Create automation scripts using Shell scripting, Ansible, or Python.
Required Skills
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Strong experience in Hadoop and Linux administration.
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Experience working with Hadoop clusters and Kafka.
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Proficiency in troubleshooting, debugging, and performance optimization.
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Ability to plan and execute capacity expansions and system upgrades.
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Experience in automation and reducing manual effort through scripting.
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Familiarity with DevOps tools and practices.