Data Engineer (Snowflake, Azure Data Factory, Python & SQL)

About The Role

As a Data Engineer, you will make an impact by designing, developing, and supporting scalable cloud-based data solutions that enable data integration, transformation, and analytics across the enterprise. You will be a valued member of the Data Engineering team and work collaboratively with architects, business stakeholders, application teams, and platform engineers to deliver reliable and high-quality data pipelines.

In This Role, You Will

• Design, develop, and maintain data pipelines using Azure Data Factory (ADF), Snowflake, Python, and SQL.
• Build and optimize ELT/ETL processes to support enterprise data warehousing and analytics initiatives.
• Develop and support Snowflake objects including Tasks, Dynamic Tables, and COPY INTO processes for efficient data ingestion and transformation.
• Monitor, troubleshoot, and enhance data pipelines to ensure performance, reliability, and data quality.
• Collaborate with cross-functional teams to support CI/CD implementation, code deployments, and Agile delivery practices.

Work Model We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Ontario and/or Nova Scotia, where our hubs are located. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What You Need To Have To Be Considered

• Proven experience as a Data Engineer with strong expertise in Snowflake, Azure Data Factory (ADF), Python, and SQL.
• Hands-on experience developing and supporting ADF components including Flow Control Logic, Lookups, Copy Activities, Data Flows, Child Pipeline Execution, Script Activities, and Batch Service Calls.
• Strong knowledge of Snowflake architecture and objects, including Tasks, Dynamic Tables, and COPY INTO commands.
• Advanced SQL skills with experience in data modeling, query optimization, and performance tuning.
• Experience with enterprise Data Warehousing, ETL/ELT frameworks, and modern cloud data platforms.
• Experience implementing CI/CD practices and deployment processes using Azure DevOps.
• Strong troubleshooting and problem-solving skills with the ability to resolve complex data pipeline issues.
• Experience working in Agile delivery environments.

These Will Help You Stand Out

• Experience with Databricks, including developing notebooks for change data capture (CDC) processes.
• Familiarity with Spark and PySpark for large-scale data processing.
• Experience working with Azure services such as Event Hub, Event Grid/Event Subscriptions, Azure Functions, and Enterprise Messaging Services (EMS).
• Knowledge of Python libraries including Pandas, Snowflake Connector, Azure SDK, and Keyring.
• Experience supporting cloud migration, data modernization, or large-scale analytics initiatives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $105,000.00 - $ 120,000.00 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications.

This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.