Data Engineer - Azure Data Factory & Snowflake

Cognizant is seeking a Data Engineer to design, build, and support cloud data pipelines using Azure Data Factory and Snowflake. The role is responsible for end-to-end data delivery, including source analysis, data modeling, pipeline development, performance tuning, CI/CD, monitoring, and production support.

Responsibilities:

• Build and orchestrate ingestion and transformation pipelines in Azure Data Factory using mapping and data flows, linked services, datasets, triggers, and parameterized, metadata-driven frameworks
• Develop and optimize Snowflake objects including databases, schemas, tables, views, streams, tasks, stored procedures, and Snowpipe-based loads
• Write complex SQL for transformation logic, implement SCD Type 1 and Type 2 patterns, and tune warehouse sizing, clustering, and query performance for cost efficiency
• Integrate ADF with Azure Data Lake Storage Gen2, Azure SQL, Key Vault, Logic Apps, and Databricks or Synapse where required
• Implement CI/CD for ADF and Snowflake through Azure DevOps or GitHub, along with monitoring, alerting, and data quality and reconciliation checks

Requirements:

• •Please note, this role is not able to offer visa transfer or sponsorship now or in the future
• this is a remote position open to qualified applicants in the United States
• • Strong hands-on experience with Azure Data Factory and Snowflake (4+ years)
• • Advanced SQL and data warehousing concepts, including dimensional modeling, star and snowflake schemas, and ELT design patterns
• • Working knowledge of Azure Data Lake Storage Gen2, Azure SQL Database, and Azure Key Vault
• • Experience with Python or PySpark for data processing, along with Git-based version control and CI/CD pipelines
• • Understanding of performance tuning, cost optimization, and data security, including RBAC, masking, and row-level access policies
• • Exposure to Agile methodology
• • Experience in production support environments