Top Tech Jobs & Startup Jobs in Mumbai

Design, build, and scale a centralized API-driven data validation platform. Develop high-throughput, real-time and batch validation pipelines, field- and cross-field rules, schema and integrity checks. Integrate with enterprise systems (CheckMate), ensure auditability, and enable distributed, parallel, and asynchronous processing. Collaborate with data, client services, and analytics teams and contribute to AI-driven capabilities like anomaly detection and LLM-based automation.

Validate, maintain, and onboard equity and cross-asset research data for index construction. Implement data validation checks, perform monthly and historical data QA, run UAT for pipelines, build data dictionaries and dashboards, automate processes, and collaborate with vendors, engineering, and research to resolve data issues.

Collect, validate, and manage fund and portfolio data from vendors; resolve data issues with product and technical teams; maintain vendor relationships; improve data collection and QA using LSS tools; support database integration and related projects; meet KPIs and SMART goals while working shifts in a hybrid environment.

Provide expert post-sales client support for Morningstar research and analytical products, resolve escalations, maintain product knowledge, meet service levels, advocate for clients, and coordinate with internal teams to ensure timely responses and excellent client experience.

Lead quality improvement and transformation initiatives across Sustainalytics, driving process design, optimization, and performance measurement. Manage and coach process improvement teams (including Green/Black Belts), run workshops, deploy quality frameworks and training (DMAIC, SPC, SQC), analyze metrics, present to stakeholders, and implement data-driven controls to improve customer satisfaction and operational efficiency.

Develop and optimize Python-based backend and serverless cloud data applications on AWS. Build reusable libraries, improve compute/storage efficiency, use AI tools to accelerate development, participate in architecture and code-review, and collaborate within Agile squads to productionize data workloads.

Lead and deliver multiyear Enterprise Technology programs by coordinating cross-functional teams, managing dependencies and risks, facilitating architecture reviews, coaching Agile teams, building plans and reporting, and driving execution to meet product and roadmap milestones.

Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.

Provide expert post-sales support for Morningstar research, data and analytics products; resolve escalated client issues; collaborate with Product, Data, Engineering and Implementation teams to ensure timely delivery and quality; maintain product knowledge, document processes, and advocate for clients while meeting service levels and supporting global 24x7 operations.

Manage product ticket queue, prioritize and resolve issues using Salesforce and Jira; perform investment platform administration, reconciliations, corporate actions, and reporting; liaise with stakeholders, ensure data security, and drive process improvements.