Lead Data Engineer- Data Modelling, Docker, AWS, Kubernetes

DataOps support Engineer# Note: If any addition/Change in JD from client we will let you know as of now go with below JD.Roles & Responsibilities: Overall, the ideal candidate for this Data Ops role should possess a combination of technical expertise, strong communication skills, problem-solving abilities, and experience in incident management. Monitoring Long Running/Hung or Failed Jobs in CDQ Product team. Collaboration with developers/Engineering teams to address platform-related issues, including code-related issues or resource constraints causing job stalls. Addressing email delivery failures or alert configuration issues. Ensuring efficient scheduling of data quality jobs. Managing all communication with stakeholders necessary to resolve support tickets. Resolving support tickets within specified Service Level Agreements (SLAs). Coordinating and tracking ticket escalations as needed. Maintaining support tickets in Jira. Contributing frequently asked questions to the Collibra knowledge base. Participating in on-call rotations for support coverage Technical Skills# Troubleshooting and support experience. Data management and incident management proficiency. Familiarity with JIRA and Collibra. Understanding data structures, flows, and quality concepts. Ability to identify and resolve data pipeline issues. Quick decision-making skills, especially for SLA adherence. Adaptability to handle changing priorities. Effective stakeholder management. Strong documentation abilities. Have experience, Knowledge on the following technologies.? AWS experience, Packer, Docker, Vault, ELK stack, Prometheus, Alert Manager,? Kubernetes/Docker, Terraform? Scripting/coding experience ? ideally GoLang, Ubuntu OS/BottleRocket, Jenkins/GitLab/BitBucket