onsite
Data Engineer - Zoetis
Data Engineer
Data Engineer responsible for building and maintaining scalable data pipelines, ensuring data quality and governance, and enabling advanced analytics to drive revenue and customer retention strategies.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python and SQL on AWS infrastructure.
- Implement data quality checks and master data management processes to ensure accurate, consistent data across the organization.
- Collaborate with analytics teams to integrate internal and external data sources for advanced analytics projects.
- Optimize data storage and retrieval for performance and cost-efficiency.
- Document data models, pipeline logic, and governance policies.
Requirements
- Proven experience in data engineering with Python, SQL, and cloud platforms (AWS).
- Strong understanding of data quality, data governance, and master data management concepts.
- Experience building scalable, production‑grade data pipelines and ETL processes.
- Excellent problem‑solving skills and ability to translate business requirements into technical solutions.
- Effective communication skills for cross‑functional collaboration.