Overview
CPW Data Engineer II will build and maintain data assets and scalable ETL/ELT pipelines on Azure to support reporting, analytics, and BI.
What you'll do
- Build high-quality data assets for business advantage.
- Develop and maintain 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 focused on quality and security.
- Integrate data from multiple sources including Nielsen, Circana, internal systems, panel data, and RMS data.
- Optimize queries, Delta storage formats, pipelines, workflows, scalability, and cost efficiency.
What you'll need
- 7+ years of relevant data engineering experience.
- Bachelor’s degree in Computer Science, Information Technology, Electronics and Telecommunications, or related field.
- Mandatory experience working with data lakes and multiple data sources.
- Hands-on experience with SQL, PySpark, Azure Databricks, and 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.
Nice to have
- Master’s degree in a related field.
- Experience in the FMCG industry.
- Experience developing business intelligence platforms or 360-degree data views.
- Experience with Azure Storage Accounts, Azure Key Vault, and Azure DevOps.
- Familiarity with data governance, data security, and stewardship frameworks.
Details
- Eligibility includes meeting minimum age qualifications in the job location country.
Read the full description and apply on the company’s own careers page.
