Engineering

Data Devops Engineer

Bengaluru, Karnataka   |   Full time

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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