Requirement
> As an integral part of the Data Platform team, primarily work on Big Data & related tech stacks.
> Setting up and maintaining of Big data clusters like Hadoop, Hive, HBase, etc.
> Ensure timely upgrades of the infra by providing rolling upgrades.
> Maintain and manage services on cloud infra like AWS.
> Work on org level initiatives likes CI , metrics and alerting.
> Collaborate with different team in order to understand / resolve infra availability , scalability and consistency issues.
> Be involved in Knowledge Sharing (Knowledge Base Articles, Documentation, Forums, Blogs, etc...)
> Exhibit continuous improvement on technical knowledge and problem resolution skills and strive for excellence
Qualifications
> 3 - 6 years of experience in DevOps role with experience in managing Big data infrastructure.
> Experience with Docker (Apache Mesos/Marathon and Kubernetes experience is a plus) preferred.
> Understanding of one of Relational Databases such as MySQL, Oracle, Postgres, SQL Server.
> Excellent command on Linux with ability to write small scripts in Bash/Python. Ability to grapple with log files and unix processes.
> Prior experience on Hadoop, Map-Reduce, Hive, and any NoSQL database like HBase would be an added advantage. Prior experience of working on messaging queues like Kafka.
> Prior experience in working on cloud services, preferably AWS.
> Experience developing telemetry, metrics, and usage analysis using monitoring and logging tools (like New Relic, Cloud Watch, Data Dog, ELK stack)
> Familiar with the challenges surrounding efficient operations and failure mode analysis in large complex distributed systems
> Experience with Java, Python and/or JavaScript (Node.js)
> Experience with configuration management tools (Ansible, Chef, etc) is a plus
> Ability to learn complex new things quickly
> Occasional involvement in DevOps support over weekends/ early mornings/ late nights.
> Be a team player with an ability to work under pressure with good time management skills
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