Big Data Production Support Engineer
2 weeks ago
We are seeking a highly skilled Big Data Production Support Engineer to join our team. As a key member of our production support team, you will be responsible for leading and managing a team of Production Support Engineers, providing guidance, mentorship, and technical expertise.
Responsibilities:- Lead and manage a team of Production Support Engineers, providing guidance, mentorship, and technical expertise.
- Monitor the Big Data infrastructure and applications, anticipating and promptly resolving production incidents.
- Investigate and troubleshoot issues, minimizing impact and downtime.
- Develop and implement effective incident management processes and procedures to ensure timely resolution.
- Establish and enforce change management processes to ensure smooth deployments and minimize risks.
- Collaborate with development teams to review and approve changes, assess potential impacts, and coordinate with stakeholders.
- Implement monitoring and alerting mechanisms to proactively identify performance bottlenecks and optimize the Big Data infrastructure.
- Collaborate with cross-functional teams to resolve complex issues and ensure seamless integration of the Big Data platform.
- Identify opportunities for automation and process improvement within the Big Data production support function.
- Create and maintain comprehensive documentation, including standard operating procedures, troubleshooting guides, and knowledge base articles.
- Proficiency in Big Data technologies such as Hadoop, Spark, Hive, HBase, Kafka, and related ecosystem tools.
- Experience with cluster management and resource allocation frameworks like YARN or Mesos.
- Expertise in Linux/Unix operating systems and shell scripting.
- Strong understanding of distributed computing principles and performance optimization techniques.
- Experience with configuration management and automation tools like Ansible or Puppet.
- Familiarity with version control systems like Git and collaborative development platforms like GitHub.
- Knowledge of SQL and scripting languages like Python for data manipulation and analysis.
- Understanding of monitoring and logging tools such as ELK stack (Elasticsearch, Logstash, Kibana) or Splunk.
- Experience with job scheduling and orchestration tools like Control-M, Oozie, or Airflow.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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