Top Tech Jobs & Startup Jobs in Mumbai

Creates digital interfaces, advertising assets, web content, static and animated banners, visual design systems, templates, prototypes, and marketing graphics. Ensures visual consistency, performs quality assurance, supports creative strategy, mentors teammates, delegates design work, estimates task timelines, and resolves production issues while meeting client requirements.

Creates and oversees digital graphics, advertising assets, banners, visual designs, templates, animations, and client communication materials. The role establishes visual design standards, supports creative strategy, manages workflow improvements, performs quality assurance, estimates design work, delegates tasks, mentors team members, and ensures brand consistency across campaigns and deliverables.

Design, develop, test, deploy, maintain, and enhance enterprise software using Python, Generative AI, and Agentic AI. Lead AI-driven solution delivery, apply prompt engineering and evaluation frameworks, troubleshoot complex issues, collaborate across teams, make technical decisions, mentor junior engineers, and improve development processes. The role requires expertise in software methodologies, Git, automated testing, and responsible, scalable AI implementation.

Leads end-to-end data migration planning and execution, ensuring data accuracy, completeness, quality, and readiness for target systems. Coordinates cross-functional teams, defines migration strategies, controls, and validation procedures, manages risks, resolves technical issues, and aligns migration activities with business and compliance objectives. Serves as a subject matter expert, makes team decisions, mentors staff, and drives reliable transitions.

Designs and refines data platform blueprints, collaborating with Integration and Data Architects to ensure cohesive system and data model integration. Troubleshoots platform performance and integration issues, analyzes data workflows, supports continuous improvement, documents best practices, and contributes solutions independently as a subject matter expert. Requires extensive data platform experience, data governance knowledge, and at least three years of Collibra Data Quality & Observability experience.

Leads the planning and execution of data migration activities, ensuring accuracy, completeness, quality, and minimal downtime. Coordinates multiple teams, defines migration strategies and controls, manages risks, monitors timelines and deliverables, and resolves complex migration challenges. The role also develops best practices, supports data governance and security, mentors team members, and serves as a subject matter expert for Snowflake-based migration initiatives.

Leads end-to-end data migration planning and execution, coordinating cross-functional teams, defining migration strategies and controls, monitoring data quality and progress, managing risks, and ensuring accurate, complete, and reliable transitions to target systems. Acts as a subject-matter expert, makes team decisions, solves complex problems, improves migration efficiency, and mentors junior team members.

Develop and enhance custom software components using Databricks and distributed computing technologies. Optimize data pipelines and workflows for scalability and performance, troubleshoot complex data-platform issues, and collaborate across teams using agile practices. The role includes making technical decisions, leading best-practice implementation, mentoring junior engineers, and coordinating cross-functional delivery.

Architects and leads automotive ECU middleware and platform software for HPC and zonal controllers. Designs AUTOSAR Classic and Adaptive stacks, service-oriented architectures, IPC, virtualization, and hypervisor solutions. Ensures compliance with functional safety, ASPICE, and automotive cybersecurity standards. Integrates toolchains, BSPs, operating systems, and middleware while collaborating with OEMs, Tier 1 suppliers, and silicon vendors. Provides technical leadership and mentorship across distributed engineering teams.

Lead end-to-end data migration planning and execution, ensuring accurate, complete, and reliable transfer to target systems. Coordinate cross-functional teams, define migration approaches and controls, manage risks, monitor quality and timelines, and implement process improvements. Serve as a subject-matter expert, make team decisions, solve complex problems, and mentor junior team members. The role requires strong Data Build Tool proficiency, migration methodology knowledge, data validation expertise, and at least 7.5 years of experience.