Deputy Manager
Vodafone Limited
Pune,India
17d ago

Minimum 6+ years of overall IT experience with at least 4 years of Cloudera Hadoop experience, Cloudera Distributed Hadoop, Cloudera Manager

Support and maintain applications on large scale Cloudera Hadoop environments.

Apply knowledge of Hadoop ecosystem and tools to analyze and resolve production application failures within SLAs.

In depth knowledge of Hive, Impala, HBase, Sqoop, Oozie,Kafka, Spark, Nifi

  • Perform RCA (root cause analysis) for the failures and recommend code changes to obtain permanent solutions.
  • Review and coordinate the release of new code and patches to the production environment after performing OAT / DR with thorough analysis of potential impact.

    Fulfill service requests adhering to organizational standards and processes.

    Monitor application workflows andperform periodic trend analysis to proactively identify performance optimization opportunities.

    Implement and manage periodic archival / purge of data from landing zones as per defined retention periods.

    Create and maintain service documentation such as operations manuals, SOPs, escalation / contact matrix.

    Develop and deliver periodic application health and service status reports to management andIT stake holders.

    Identify opportunities for process improvement and automate operational activities to reduce manual effort.

    Coordinate with fellow teams including development, QA, infrastructure, network and database to achieve effective resolution to complex problems.

    Functional knowledge of telecom domain

    Excellent verbal and written communication skills.

    Decision making / problem solving skills.

    Ability to manage multiple and concurrent activities.

    Must be able to work under pressure and meet deadlines, while maintaining a positive attitude.

    Support and maintain applications on large scaleCloudera Hadoop environments.

    Apply knowledge of Hadoop ecosystem and tools toanalyze and resolve production application failures within SLAs.

    In depth knowledge of Hive, Impala, HBase, Sqoop, Oozie, Kafka, Spark, Nifi

    Perform RCA (root cause analysis) forthe failures and recommend code changes to obtain permanent solutions.

    Review and coordinate the release of new code and patches to the production environment after performing OAT / DR with thorough analysis of potential impact.

    Fulfill service requests adhering to organizational standards and processes.

    Monitor application workflows and perform periodic trend analysis to proactively identify performance optimization opportunities.

    Implement and manage periodic archival / purgeof data from landing zones as per defined retention periods.

    Required :

    Hadoop ecosystem - HDFS, YARN, Hive, Impala, HBase, Sqoop, Oozie, Kafka, Spark, Nifi

    RDBMS (MySql, Oracle, Postgres) and SQL.

    Shell / Python / Perl scripting.

    Good to have :

    Hadoop security - Kerberos, LDAP, Sentry, HDFS encryption, TLS / SSL

    High availability Cloudera BDR, HDFS / HBase / Hivereplication

    Automation tools (Ansible / Puppet / Chef).

    Advanced database administration, advanced SQL.

    GCP / AWS

    Educational Qualification

    B.E / B.TECH / MCA / MCS

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