HCLTechRole: Python Technical Lead - Data Analysis, SQL
SHORTDESCRIPTION section. 1 of 6.
Support engineers to onboard into the AIDA ecosystem to ensure high availability and reliability of all AIDA features across a global user base. The engineer(s) will be responsible for proactive monitoring, incident triage, troubleshooting, and resolution, along with delivering small enhancements and bug fixes across Python services, web applications, data/analytics pipelines, and cloud infrastructure.
This role requires strong production support mindset, hands-on troubleshooting skills, and ability to work in a shift-based model for near 24x7 coverage.
LONGDESCRIPTION section. 2 of 6.
Production Monitoring & Uptime (Primary)
Monitor all features/services within the AIDA ecosystem to ensure uptime, stability, and performance
Perform proactive checks on health dashboards, logs, alerts, and metrics; identify issues before users are impacted
Own incident management (triage → diagnosis → mitigation → resolution) and drive restoration within SLA
Conduct root cause analysis (RCA) and implement corrective/preventive actions (CAPA)
Maintain and improve runbooks, SOPs, knowledge articles, and on-call procedures Support Operations (L2/L3
)Handle support tickets and production issues including functional issues, system errors, integration failures, and data pipeline disruption sManage escalations effectively—coordinate with product/engineering, infrastructure, and vendor teams as require dTrack reliability KPIs (availability, MTTR, incident trends) and contribute to continuous improvemen t
Enhancements & Fixes (Secondar y)Deliver small enhancements, configuration changes, and bug fixes i n:Python services/scripts and automati onWeb UI components (Angular/React) and/or backend (.NET where applicabl e)Data workflows (Dataiku pipelines/recipes, job schedulin g)AWS infrastructure/app servic es
Release & Change Supp ortSupport deployments (lower → prod), validate smoke tests, and assist in release readiness activit iesEnsure proper change documentation and rollback readiness for production chan gesLONGDESCRIPTION section. 3 of
6.Section Title: Skill Requireme ntsSkill Requireme ntsRequired Technical Ski lls
Python: troubleshooting, scripting, API debugging, automa tionWeb/App Support: exposure to Angular or React, and understanding of web app troubleshooting (frontend/back end)Backend exposure: knowledge of .NET is desirable (or ability to troubleshoot service-side iss ues)Dataiku: ability to monitor and troubleshoot Dataiku jobs, pipelines, failures, schedu lingAWS: working knowledge of cloud monitoring, logs, and typical services (e.g., IAM, EC2/ECS/EKS, S3, CloudWatch, Lambda—based on your st ack)Observability & Support Tools: logging/monitoring, alerting systems, ticketing tools (ServiceNow/Jira), dashbo ardsSKILL section. 4 o f 6.Section Title: Must Have Sk illsMust Have Sk illsClick Enter to show the proficiency description of Data AnalyticsData Analy ticsClick Enter to show the proficiency description of PythonPy thonClick Enter to show the proficiency description of MS SQLMS
SQLSKILL section. 5 o f 6.Section Title: Good to have Sk illsGood to have Sk illsClick Enter to show the proficiency description of React.jsReac t.jsClick Enter to show the proficiency description of .NET Framework.NET Frame workClick Enter to show the proficiency description of AngularAng ular
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