Data Support Engineer

Experience: 5 - 8 Years Location: Hyderabad Workmode: WFO 5 Days 1. We are looking for a Senior Consultant Data OPS (Data Engineer) profile 2. The person is expected to be available on call support and to follow ODC requirements, working all days from Bangalore/Chennai office. No laptop will ne taken home by contractor all the task need to be performed in office. During on-call support candidate need to go back to office after shift hours to provide help. As a team, one person does the on call support and one person work in general shift. IST: Usual days: 9am-6pm On call support days: 12:30pm-9:30pm Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents Python - Must have Databricks - Must have Unity Catalog - Must have ADLS - Must have Spark - Must have Job Orchestration (Airflow) - Must have Data pipeline Architecture and Design - Must have Azure Services (Kubernetes,AVD,Log Analytics Workspace, SQL, Costing) - Must have Troubleshooting and RCA - Must have Incident Management - Must have Communication - Must have Stakeholder Management - Must have Terraform - Good to have Kubernetes - Good to have PowerBI - Good to have Gitlab - Good to have Feature Leading - Good to have Jira / Confluence - Good to have Shell scripting - Good to have Experience: 5 - 8 Years Location: Hyderabad Workmode: WFO 5 Days 1. We are looking for a Senior Consultant Data OPS (Data Engineer) profile 2. The person is expected to be available on call support and to follow ODC requirements, working all days from Bangalore/Chennai office. No laptop will ne taken home by contractor all the task need to be performed in office. During on-call support candidate need to go back to office after shift hours to provide help. As a team, one person does the on call support and one person work in general shift. IST: Usual days: 9am-6pm On call support days: 12:30pm-9:30pm Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents Python - Must have Databricks - Must have Unity Catalog - Must have ADLS - Must have Spark - Must have Job Orchestration (Airflow) - Must have Data pipeline Architecture and Design - Must have Azure Services (Kubernetes,AVD,Log Analytics Workspace, SQL, Costing) - Must have Troubleshooting and RCA - Must have Incident Management - Must have Communication - Must have Stakeholder Management - Must have Terraform - Good to have Kubernetes - Good to have PowerBI - Good to have Gitlab - Good to have Feature Leading - Good to have Jira / Confluence - Good to have Shell scripting - Good to have