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Data Engineer Azure Data Factory & Snowflake - Cognizant
Data Engineer
Build and maintain enterprise data pipelines and models using Azure Data Factory and Snowflake, translating business requirements into scalable, automated data solutions.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data integration workflows in Azure Data Factory, including pipelines, datasets, linked services, triggers, and parameters.
- Implement and optimize Snowflake data warehouses, creating tables, views, and stored procedures to support analytical workloads.
- Collaborate with business analysts and data scientists to translate requirements into robust data models and ETL processes.
- Monitor, troubleshoot, and improve performance of data pipelines, ensuring data quality, reliability, and timely delivery.
- Automate data orchestration and scheduling, leveraging Azure services and scripting (e.g., Python) for repeatable, maintainable solutions.
Requirements
- 3+ years of hands‑on experience with Azure Data Factory and Snowflake in a production environment.
- Strong SQL proficiency and experience building scalable data models and ETL processes.
- Proficiency in Python or similar scripting language for data transformation and automation.
- Understanding of cloud data platforms, data warehousing concepts, and best practices for data governance.
- Excellent problem‑solving skills and ability to work collaboratively with cross‑functional teams.