Top Tech Jobs in Gurgaon

Supports consulting teams on actuarial modeling, valuations, pricing, business planning, mergers and acquisitions, and research projects. Collaborates with senior actuaries, contributes to innovative client solutions, maintains relationships, and delivers technical work independently. The role focuses on life and annuity products and requires analytical, communication, and actuarial examination skills.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Manage end-to-end mutual fund and insurance operations, including client onboarding, KYC, applications, transactions, policy issuance, renewals, endorsements, and service requests. Coordinate with clients, relationship managers, channel partners, AMCs, RTAs, insurers, and financial institutions to resolve issues and meet processing timelines. Prepare MIS reports, reconciliations, trackers, and operational updates while supporting client servicing and relationship management teams.

Investigate and respond to security alerts and incidents across customer cloud, endpoint, identity, network, and SIEM/XDR environments. Responsibilities include threat hunting, detection engineering, incident response, EDR investigation, cloud security monitoring, threat intelligence, vulnerability analysis, and SOC automation. The engineer will improve detection coverage, reduce false positives, support containment and remediation, and map detections to MITRE ATT&CK while meeting customer SLAs.

Supports daily learning administration operations by processing LMS requests, maintaining training data accuracy, assisting with reporting, validating records, resolving or escalating system issues, and following documented procedures and service levels. The role requires attention to detail, organizational skills, stakeholder communication, and familiarity with LMS platforms, ticketing systems, and Microsoft Office tools.

Build and maintain scalable data ingestion pipelines, implement automated data quality checks, clean and validate datasets, analyze anomalies and trends, manage databases and backups, and coordinate with internal teams and external providers to resolve data issues. The role supports trading and research teams in a high-frequency trading environment and requires strong ownership of data reliability and availability.

Lead design, build and maintain Salesforce solutions and integrations; translate stakeholder needs into technical specs; ensure code quality and 90%+ coverage; create LWC and Apex components; manage testing, UAT, documentation, training and platform security; provide technical leadership to the India Salesforce team.

Leads people analytics and workforce planning initiatives by analyzing trends, developing predictive and prescriptive models, building executive dashboards, governing HR metrics, automating reporting, and translating workforce data into strategic recommendations. Partners with HR and business leaders to evaluate talent programs, improve organizational effectiveness, enable self-service analytics, and promote evidence-based decision-making.

Manage IT infrastructure, Windows systems, networks, hardware, software, user accounts, access permissions, and technical support operations. Diagnose issues, provide remote and on-site assistance, monitor system logs, maintain documentation, support technology deployments, and ensure secure, reliable system performance. The role also includes coordinating internal teams and clients, handling IT operations end to end, and providing technical recommendations.

Build Power BI dashboards, data models, automated reports, and predictive forecasting models for infrastructure capacity planning. Query and blend cloud billing, monitoring, API, and system data using SQL and Power Query. Analyze utilization trends, forecast resource demand, identify capacity risks, and provide executive-friendly insights supporting cloud spend optimization and infrastructure decisions across cloud and on-premises environments.