Easy Apply
Easy Apply
The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.
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.
Top Skills
Hadoop
Perl
Python
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