Top Tech Jobs & Startup Jobs in Mumbai

Develop and enhance custom software components using modern frameworks and agile practices. Build scalable data pipelines, integrations, and workflows; manage databases and data warehouses; optimize performance; apply data governance and security practices; document processes; collaborate with cross-functional teams; and support junior engineers while contributing independently as a subject matter expert.

Supports and configures Veeva CRM/Vault CRM, handles change requests, analyzes requirements, designs solutions, resolves defects, and performs user setup, alignment, and security activities. Develops custom triggers, workflows, and classes, supports AMS operations through ServiceNow, and assists with integrations using ETL tools, Python, C#, and Azure. Leads technical tasks, coordinates stakeholders, manages status meetings, and provides automation and innovation recommendations.

Supports and configures Veeva CRM and Vault CRM, including data models, users, alignment, security, workflows, triggers, integrations, and change requests. Analyzes requirements, designs solutions, estimates effort, fixes bugs, and performs application support using ServiceNow. Leads technical tasks, stakeholder communications, status meetings, documentation, and team guidance while proposing automation and innovation improvements.

Configure and support Veeva CRM/Vault CRM, analyze requirements, design solutions, implement change requests, resolve bugs, and manage users, security, alignment, and integrations. The role includes custom development with triggers, workflows, and classes; ServiceNow AMS support; client and stakeholder communication; team leadership; documentation; and automation initiatives using ETL tools, Python, C#, and Azure.

Configure and support Veeva CRM/Vault CRM, analyze and implement change requests, resolve technical issues, manage users, alignment, and security, and develop custom triggers, workflows, and classes. Support AMS activities through ServiceNow, integrations using ETL tools and scripting, and client status communications. Lead technical teams, manage stakeholders, document solutions, estimate efforts, and propose automation and innovation opportunities.

Leads the design, development, and deployment of production-ready AI and machine learning solutions using cloud AI services and generative AI. Responsibilities include building scalable pipelines, applying deep learning and neural networks, integrating models into existing systems, coordinating cross-functional teams, making technical decisions, and mentoring junior engineers.

The Data Modeler designs current and new data models in collaboration with business representatives, data owners, end users, application designers, and data architects. Responsibilities include translating business requirements into scalable models, supporting enterprise architecture standards, resolving data discrepancies, improving modeling processes, making team decisions, and mentoring junior staff. The role requires expertise in relational and dimensional modeling, database design, data warehousing, governance, metadata management, and data modeling tools.

The Data Modeler designs and maintains scalable, maintainable data models aligned with business requirements and enterprise architecture standards. The role collaborates with business representatives, data owners, application designers, architects, and technical teams to model current and future data. Responsibilities include translating requirements into relational and dimensional models, supporting data governance and metadata management, resolving data discrepancies, making team decisions, improving modeling processes, and mentoring junior team members.

The Data Modeler designs and improves current and new data models in collaboration with business representatives, data owners, application designers, and architects. Responsibilities include developing scalable models aligned with enterprise architecture, translating business requirements, resolving data discrepancies, supporting cross-team decisions, mentoring team members, and improving modeling processes. The role requires expertise in relational and dimensional modeling, database design, data warehousing, governance, metadata management, and data modeling tools.

Develop, design, code, and enhance custom software applications using Python frameworks. Collaborate with cross-functional teams to gather requirements, maintain and optimize existing systems, document designs and code, apply agile development practices, and support junior team members. The role requires independent execution, problem-solving, clean coding, and participation in team discussions.