Big Data DevOps Lead

Zeta Global

7 - 12 years

13 - 18 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

graphite shell scripting hadoop grafana nosql databases hive scala hadoop cluster ansible open source postgresql spark devops mysql perl big data saltstack python sre database administration nosql puppet mariadb cassandra kafka terraform aerospike

Work Mode

Work from Office

Job Type

Full Time

Job Description

Summary:
As a Senior or Lead Big Data DevOps Engineer, you will be working with a team responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments.

Main Responsibilities:Driving improvement of the efficiency of Big Data infrastructure.

Coordinating cross-team infrastructure and Big Data initiatives.
Leading Big Data related architecture and design efforts.
Ensuring availability, efficiency, and reliability of the Big Data infrastructure.
Building and supporting tools for operational tasks. Evaluating, designing, deploying monitoring tools.
Design and implementation of DR/BC practices and procedures.
On-call support of production systems.

Requirements:7+ years of experience working with Hadoop, preferably Open Source.

3+ years of leading Big Data, DevOps, SRE, DBA, or development team.
Experience setting up and running Hadoop clusters of 1000+ nodes.
Solid knowledge of NoSQL databases, preferably Cassandra or ScyllaDB.
Experience running and troubleshooting Kafka.
Working knowledge of at least one of: Terraform, Ansible, SaltStack, Puppet. Proficiency in shell scripting.

Nice to have:Experience with Prometheus.

Experience managing Showflake. Solid knowledge of Graphite and Grafana.
Python or Perl scripting skills.
Experience with installing and managing Aerospike.
DBA experience with one of: PostgreSQL, MySQL, MariaDB.

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