Big Data Production Support EngineerPermanent contractBangalore, India
3 weeks ago
Big Data Production Support Engineer
Permanent contract|Bangalore|IT (Information Technology)
Big Data Production Support Engineer
Bangalore, India Permanent contract IT (Information Technology)
Responsibilities
1. Production Support Leadership: Lead and manage a team of Production Support Engineers, providing guidance, mentorship, and technical expertise. Foster a collaborative and high-performing environment, ensuring the team is equipped with the necessary skills and knowledge to handle production incidents effectively.
2. Incident Management: 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.
3. Change Management: 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. Ensure proper documentation and communication throughout the change process.
4. Performance Monitoring and Optimization: Implement monitoring and alerting mechanisms to proactively identify performance bottlenecks and optimize the Big Data infrastructure. Analyze system performance metrics, diagnose issues, and implement enhancements to ensure optimal performance and scalability.
5. Collaboration and Coordination: Collaborate with cross-functional teams, including data engineering, infrastructure, and application development teams, to resolve complex issues and ensure seamless integration of the Big Data platform. Coordinate with stakeholders to understand requirements, provide updates, and ensure effective governance.
6. Automation and Process Improvement: Identify opportunities for automation and process improvement within the Big Data production support function. Streamline manual tasks, automate monitoring and deployment processes, and implement tools and frameworks to enhance efficiency and reliability.
7. Documentation and Knowledge Sharing: Create and maintain comprehensive documentation, including standard operating procedures, troubleshooting guides, and knowledge base articles. Promote knowledge sharing within the team and across the organization to enhance overall productivity and reduce resolution times.
Profile required
• 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 (, Bash).
• 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.
Why join us
“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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