Technical Operations Engineer

Role & responsibilities - On-time delivery of KPI and Reports Ensure that Jobs and Processes runs on defined schedule Monitor Alerts and take action to resolve the issue Identify Improvement Areas in and define actions, track and close it Ensure Platform Availability Define Platform KPIs, SLOs along with Domain Ops Leads and Publish Report on regular basis Capacity Management - Regular monitoring of growth in volume/TPS and raise it to Dev/DevOps for Infra need Roster Management Re-run of jobs when required. Troubleshoot issues, apply patches and scripted workarounds Automation of daily task Creating Knowledge base and SOPs for the daily routine activities Available 24x7 to provide support to Ops team Provide on-call and weekend support as needed Work Experience & Skillset: hands-on experience in managing Technical Operation activities on Data Engineering platforms (Cloudera / Spark / Apache / ELK) Good Understanding Knowledge of ETL pipeline and components like Repartition, Sort, Roll up and Transform etc. Hands-on experience with ELK Stack and other monitoring tools like Kibana/Grafana Experience on Apache Airflow, Kafka, Nifi, Yarn Good Python / shell Scripting Quickly gain understanding of existing processes, Jobs, KPI, Reports. Good understanding of performance issue troubleshooting. Strong knowledge on Linux/Unix commands