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Senior Cloudera Administrator

Tata Consultancy Services

Bengaluru, Karnataka

On-site
Senior
Full Time
Posted January 05, 2026

Tech Stack

hadoop apache-hadoop yarn spark cloudera-manager amazon-web-services google-cloud-platform kubernetes kafka informatica sentry ansible

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Job Description

Dear Candidates, Greetings from TCS!!! TCS is looking for Senior Cloudera Administrator Experience: 8-12 years Location: PAN India Required Technical Skill Set: Cloudera Administrator Must have skill: - Experience in Hadoop/Cloudera administration with large-scale clusters. - Expertise in HDFS, YARN, Hive, Impala, Spark, and Cloudera Manager/CDP. - Strong Linux/Unix administration and scripting skills. - Knowledge of cloud platforms (AWS/GCP), DevOps practices, and container orchestration (Kubernetes). Good to have skill: - Familiarity with Kafka, Informatica integration, and real-time streaming architectures. - Cloudera certifications (CCA Administrator, CCP Data Engineer) preferred. Roles and responsibilities: The Senior Cloudera Administrator will manage and optimize **Cloudera-based big data platform** , ensuring high availability, security, and performance across **HDFS, Hive, Impala, and Spark** clusters. This role involves implementing governance and compliance controls, supporting real-time and batch data processing, and enabling integration with data ingestion tools like **Informatica and Kafka** . The position also requires automation of cluster operations and readiness for **hybrid cloud adoption** . - Install, configure, and maintain **Cloudera Manager and CDH/CDP clusters** across on-prem and hybrid environments. - Monitor cluster health, troubleshoot issues, and perform **capacity planning and performance tuning** . - Implement **security controls** including Kerberos authentication, Sentry/Ranger policies, and encryption for compliance. - Manage **backup, disaster recovery** , and high-availability strategies. - Collaborate with **data engineers and ETL teams** to support ingestion pipelines (Informatica, Kafka) and processing frameworks (Spark, Hive). - Automate cluster operations using **Ansible, shell scripts** , and workflow orchestration tools. - Support **metadata management and governance** initiatives (Informatica EDC, Apache Atlas). - Prepare for **cloud integration and containerization** (Kubernetes) as part of roadmap.