OVERVIEW

Cereal Partners Worldwide (CPW) is a joint venture between General Mills and Nestl, two of the worlds leading food organizations. CPW combines the scale and capabilities of large organizations with the agility of a smaller, entrepreneurial business.

The Data Engineer II will design, develop, and optimize scalable data assets and data platforms that support global analytics, reporting, and business decision-making. The role will work across up-to-date data technologies, including Snowflake, dbt, Azure, and Databricks, while ensuring strong data quality, governance, security, and performance.

KEY ACCOUNTABILITIES

Data Pipeline Development and Architecture :
- Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, SQL, dbt, Azure, and related technologies.
- Build and maintain robust data architectures supporting Bronze, Silver, and Gold data layers.
- Develop reliable data-processing workflows using incremental processing, deduplication, testing, and automation.
- Create reusable, maintainable, and well-documented data engineering solutions.





Data Integration, Modeling, and Harmonization
- Integrate data from multiple sources, including Nielsen, Circana, internal systems, and other business datasets.
- Develop scalable data models for reporting, analytics, and business intelligence use cases.
- Ensure consistency across product, period, market, customer, and other business dimensions and hierarchies.
- Review existing data models and processes to identify sustainable, scalable, and automated improvements.
- Harmonize data and processes while balancing speed, quality, and business requirements.

Data Governance, Quality, and Security 15%
- Establish and maintain data-quality rules, validation metrics, monitoring processes, and issue-resolution workflows.
- Ensure accurate, complete, consistent, and reliable data flows across the data environment.
- Support data governance, stewardship, metadata, documentation, and data-security practices.
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📌 CPW Data Engineer (Mumbai)
🏢 General Mills
📍 Mumbai