Top Tech Jobs & Startup Jobs in Mumbai

Lead digital media planning for full-funnel, omnichannel campaigns across YouTube, Meta, DV360, OTT/CTV, and publisher partnerships. Develop audience insights, allocate channels, monitor KPIs, manage pacing and ad operations, and deliver campaign analyses. Serve as the primary client strategy partner, present plans, manage publishers, mentor junior planners, support test-and-learn initiatives, and contribute to new business pitches.

The Senior Accountant will manage accounting and finance activities, including financial modeling, forecasting, variance analysis, and account oversight. The role requires advanced Excel and financial software proficiency, strong analytical and decision-making abilities, and effective collaboration with cross-functional teams in a fast-paced environment.

Leads the design, development, testing, deployment, and support of UiPath RPA and Microsoft Power Platform automation solutions. Gathers requirements, evaluates process improvement opportunities, creates technical designs, conducts proofs of concept, and collaborates with stakeholders and process experts. Develops independent bots, supports change requests, ensures coding standards and delivery timelines, and explores agentic automation and generative AI solutions for finance-related processes.

Provides technical guidance across the software development lifecycle, including requirements analysis, design, development, testing, documentation, release processes, and feature delivery. Owns complex application features, resolves technical issues, improves code stability and reusability, integrates technologies, estimates work, identifies security and usability issues, delivers training, and mentors software engineers.

Leads QA activities for data warehouse and database-focused software projects. Defines testing scope, creates test plans and SQL scripts, designs comprehensive test cases, performs functional, regression, load, system, and UAT testing, manages defects through resolution, investigates data quality issues, communicates status to stakeholders, establishes QA best practices, and mentors 2–3 QA associates.

Maintains, cleans, manipulates, and secures operational and analytics databases. Designs scalable data pipeline architecture, builds complex data sets and analytics tools, automates manual processes, improves infrastructure, troubleshoots database issues, and supports software engineering, data science, analytics, product, design, and executive stakeholders.

Leads QA strategy and execution for Azure Data Factory data pipelines and workflows. Designs test plans, automation, and data validation processes; verifies data accuracy across Azure SQL, Synapse, and Data Lake environments. Collaborates with engineering and business teams, monitors quality metrics, ensures governance compliance, mentors junior QA staff, and coordinates testing across Agile sprints.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, solution proposals, architecture diagrams, and cost models. The architect participates in hands-on development, pre-sales and RFP responses, client engagement, mentoring junior architects, master data management, SaaS tools, and AI integration.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs Azure data warehouses, data marts, databases, ETL pipelines, and ingestion solutions; translates requirements into SQL and ETL code; documents architecture and detailed designs; coaches implementation teams; manages project resources; supports testing, governance, proofs of concept, and client delivery. Collaborates with project managers, business analysts, DBAs, data scientists, clients, and global teams while enforcing development standards and deployment practices.