Data Engineer
Ferrero (company site, opens in a new tab)4–6 yrsPuneOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and optimize data pipelines for diverse sources including marketing campaigns, eCommerce, retail, shopper, and third-party data primarily targeting North American markets.
- Manage and support existing AI data agents, pipelines, and databases related to retail panel and consumer surveys, performing data extractions and visualizations as needed.
- Support data governance initiatives and ensure alignment with AI strategy, architecture, and domain data governance in implementing automated data quality and business logic verification.
Minimum Requirements
- Master’s degree in computer science, Data Management, Information Systems, Information Science or related quantitative field.
- 4-6 years of experience in data engineering roles and responsibilities.
- Proficiency with ETL tools (e.g., Microsoft Fabric, Databricks), SQL database design and management, data catalog technology (Purview), and AI agent frameworks (Fabric Data Agents, AI Foundry).
- Experience with SQL and PL/SQL programming; familiarity with Python is a plus; knowledge of PowerBI for visualization and cloud platforms like MS Azure; understanding of data security and compliance.
Ideal Candidate Profile
- Experienced in cross-functional collaboration and communicating with business stakeholders to align data engineering with business and AI strategic goals.
- Skilled in developing and maintaining scalable, automated data pipelines that feed into analytics and AI initiatives at an enterprise level.
- Comfortable working with modern big data technologies, cloud computing, DevOps practices, and supporting enterprise-scale data governance and quality automation.