CPW Data Engineer II

Location: Powai, Mumbai, MH

Remote Type: Hybrid

Time Type: Full time

Job Description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​

OVERVIEW

Cereal Partners Worldwide (CPW) is a joint venture between General Mills and Nestlé, two of the world’s leading food organizations. Working at CPW offers the best of both worlds: the scale and capabilities of large organizations combined with the agility and entrepreneurial spirit of a smaller company.

CPW builds cutting-edge capabilities, sets industry benchmarks, partners with technology start-ups, implements advanced processes, and creates strong technical and analytical foundations. This is an opportunity to learn, grow, and contribute to an exciting, data-driven team.

KEY ACCOUNTABILITIES

• Build high-quality data assets that provide a competitive advantage.
• Develop and maintain robust ETL/ELT pipelines using Azure Databricks and PySpark.
• Design and maintain Bronze, Silver, and Gold data-layer architectures.
• Implement incremental processing, deduplication, data validation, and performance optimization.
• Establish and maintain data governance and stewardship practices, including data quality, security, validation metrics, and accurate data flow.
• Integrate data from multiple sources, including Nielsen, Circana, internal systems, panel data, RMS data, and other relevant datasets.
• Develop scalable data models to support reporting, analytics, and business intelligence use cases.
• Ensure consistency across product, period, market, and other business hierarchies.
• Review existing data models and processes to identify sustainable, scalable, and automated approaches.
• Harmonize data and processes while maintaining an effective balance between speed, quality, and business needs.
• Partner with stakeholders and internal teams to understand data requirements and deliver timely solutions to business questions.
• Support reporting and visualization teams with backend data architecture and data model development.
• Optimize queries, Delta storage formats, pipelines, workflows, scalability, and cost efficiency.
• Identify and resolve data-quality issues and proactively address data opportunities.
• Maintain strong working relationships with peers and contribute effectively as a team member.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Technology, Electronics and Telecommunications, or a related field.
• Minimum 7 years of relevant experience in Data Engineering.
• Mandatory experience working with data lakes and multiple data sources.
• Strong hands-on experience with - SQL, PySpark, Azure Databricks, Azure Data Factory.
• Knowledge of data warehousing concepts, ETL frameworks, and business intelligence platforms.
• Experience with Delta Lake architecture and large-scale data processing.
• Strong understanding of data modeling, data integration, and data quality principles.
• Good communication and stakeholder-management skills.

PREFERRED SKILLS

• Master’s degree in Computer Science, Information Technology, Electronics and Telecommunications, or a related field.
• Experience in the FMCG industry.
• Experience developing business intelligence platforms or 360-degree data views.
• Experience with Nielsen, Circana, panel data, RMS data, or similar consumer and market datasets.
• Experience with Azure Storage Accounts, Azure Key Vault, and Azure DevOps.
• Familiarity with data governance, data security, and stewardship frameworks.
• Strong focus on data accuracy, reliability, and attention to detail.
• Ability to manage ambiguous data issues and drive timely resolution.
• Continuous-improvement and ownership mindset.
• Ability to lead change, make quality decisions, and deliver results within established timelines.
• Curiosity and willingness to learn new tools, technologies, and functional capabilities.
• Ability to build strong peer relationships, collaborate effectively, and positively influence others.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.