Top Tech Jobs & Startup Jobs in Mumbai

Leads enterprise master data strategy and governance across India’s supply chain. Owns golden records, data quality, system interlocks, automated data pipelines, cloud data integration, MIS dashboards, stewardship models, and governance forums. Supports major O9, SAP S/4HANA, and CPS transformations while ensuring accurate, complete, synchronized data across systems and sites.

Design and build scalable cloud-based data solutions, including ETL pipelines, data warehouses, data lakes, and data models. Ensure data quality, validation, storage efficiency, and pipeline performance. Collaborate with engineering leads, product managers, analysts, modelers, external partners, and stakeholders to deliver analytics solutions. Apply Python, PySpark, SQL, Databricks, AWS services, Airflow, dimensional modeling, and medallion architecture to support business analytics and uncover actionable trends.

Design and build scalable cloud-based data solutions, develop ETL pipelines for warehouses and data lakes, enforce data quality, optimize processing and storage, collaborate with data and product teams, and mentor other engineers. The role requires expertise in Python, PySpark, SQL, Databricks, AWS services, data modeling, medallion architecture, and scheduling technologies.

Manages security configurations, user access, role governance, testing, compliance, audit support, and access-related incidents for the o9 platform. The role coordinates security activities across projects, regions, testing cycles, cutovers, and go-lives while maintaining documentation and audit evidence. It collaborates with business, project, controls, and audit teams to improve access management and security controls.

Manage financial compliance, plant budgets, monthly book closures, general ledger reconciliations, cost variance analysis, KPI and MIS reporting, audits, and taxation support for external manufacturing operations. The role requires SAP FICO proficiency, strong Excel and PowerPoint skills, and collaboration with plant leadership to improve financial control and operational efficiency.

Build and deploy production-grade data science, machine learning, NLP, computer vision, optimization, simulation, and GenAI solutions focused on quality, food safety, manufacturing, and supply chain analytics. Develop predictive models, dashboards, governed data products, and MLOps capabilities using Databricks and Azure or AWS. Integrate enterprise, manufacturing, and IIoT data while partnering with quality, operations, engineering, and supply chain stakeholders to improve yield, reliability, compliance, and operational efficiency.

Leads India’s Growth Analytics team, delivering marketing mix modeling, ROI measurement, pricing analytics, category forecasting, social listening, and business intelligence. The role translates advanced statistical and econometric analyses into actionable recommendations for marketing investment, pricing, portfolio optimization, and business planning. It manages multiple analytics projects, partners with marketing, finance, sales, and category teams, presents insights to senior stakeholders, improves analytics processes, and develops team capability through mentoring and performance management.

Leads integrated media strategy, planning, buying, agency management, budget oversight, digital performance, traditional media optimization, measurement, and innovation for Mondelēz India's chocolate portfolio. The role manages large investments across digital and offline channels, drives ROI through analytics and optimization, partners with agencies and platforms, and connects media execution to brand and business outcomes.

Build and maintain scalable cloud-based data solutions, including ETL pipelines, data warehouses, data lakes, and data quality processes. Optimize data processing and storage, apply dimensional modeling and medallion architecture, and collaborate with engineering, product, modeling, analytics, and business stakeholders. Use Python, PySpark, SQL, Databricks, AWS services, and scheduling technologies to deliver reliable analytics infrastructure and support business insights.

Design and build scalable cloud-based data solutions and maintain ETL pipelines into data warehouses and lakes. Implement data quality and validation processes, optimize processing and storage performance, and apply dimensional modeling and Databricks Medallion Architecture. Collaborate with data teams, product owners, engineering leads, analysts, and stakeholders while following data engineering standards and best practices.