he job responsibilities include:
• Primary production support for data ETL jobs which are near real-time within the Large Data warehouse applications.
• Support and maintain processes that aim to improve the availability, scalability, SLA, and efficiency of Core Data platform and applications.
• Troubleshoot and analyze complex production problems related to data, VMs and application issues independently and provide solutions to recovery.
• Drive and participate in postmortems to avoiding repeated incidents.
• Serve in an on-call rotation as an escalation contact for critical production issues;
• Monitoring and troubleshooting of multi-environmental systems;
• Gain a deep application-level knowledge of the systems as well as contribute to their overall design;
• Build engineering automation and productivity tools to streamline and scale applications in the production environment;
• Training and preparation of concise training materials.
Experience Requirements:
• B.S. or above, in Computer Science or a related field is preferred;
• At least 5 years of professional experience as an Engineer, able to demonstrate in-depth knowledge of the cloud services like AWS and databases;
• At least 2+ years of experience in database management with complex SQL queries;
• At least 1+ years of experience in design, deploy and maintain cloud infrastructure based on Docker and Kubernetes.
• Experience supporting mission critical production applications;
• Experience with building, deploying and scaling out SaaS/Cloud applications on Amazon Web Services using the various services provided by AWS;
• Experience with continuous integration using Jenkins, log collection, and analysis, version control systems like GitHub or Stash (BitBucket);
• Experience with automation tools like Jenkins, Maven, Puppet, AWS CloudFormation etc.,
• Expert in at least one of these languages - Shell, Python, GoLang;
• Knowledge on different deployment strategies like blue-green deployment;
• Knowledge of best practices and IT operations for highly available applications;
• Ability to automate AWS deployments and train others;
• Experience with Database Administration, schema design, query analysis, performance tuning, and optimization is a plus.