Elevate analytics solutions with Cognizant as a Big Data Engineer focusing on Snowflake and scalable data platforms. Design complex data pipelines while collaborating with DevOps and business stakeholders in a hybrid work model.

In this hybrid role based in Toronto, Ontario, you will be instrumental in designing and maintaining data pipelines. Utilize technologies like Hadoop and Spark alongside your expertise in SQL development to ensure optimal data processing. Your collaboration with architects and developers will drive efficient ETL processes and enforce data quality and governance.

Key Responsibilities:
• Design and optimize scalable data pipelines using Snowflake
• Build ETL processes for seamless data integration




• Develop high-performance SQL queries and data models
• Ensure data quality and reliability standards are met
• Troubleshoot and enhance data workflows effectively

Requirements:
• Bachelor’s or Master’s in Computer Science or related field
• 5+ years in Big Data solutions with Hadoop and Spark
• Hands-on experience with Snowflake
• Robust SQL development and data modeling skills
• Experience with AWS and CI/CD practices

Apply your skills in data engineering and analytics to shape robust data solutions at Cognizant.
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📌 Big Data Engineer at Cognizant (Ontario)
🏢 Cognizant
📍 Ontario