Big Data Developer

Big Data Engineer (Snowflake & Big Data) About The Role As a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics and reporting. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, DevOps teams, product owners, and business stakeholders to deliver secure, high-quality data solutions. In This Role, You Will Design, develop, and maintain scalable data pipelines and ingestion frameworks using Big Data technologies and Snowflake. Build and optimize ETL processes to support data integration, transformation, and delivery across multiple platforms. Develop efficient SQL queries, stored procedures, and data models to ensure high-performance data processing. Ensure data quality, security, reliability, and governance standards across the data ecosystem. Monitor, troubleshoot, and continuously improve data workflows, platform performance, and operational processes. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 4 days per week onsite in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. 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. What You Need To Have To Be Considered Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field. 5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive. Hands-on experience with the Snowflake Data Platform. Strong SQL development skills and solid understanding of data modeling concepts. Experience developing applications and APIs using Scala or Java. Experience with ETL and orchestration tools such as Informatica, Talend, or Apache Airflow. Experience working with cloud platforms, preferably AWS. Understanding of DevSecOps practices, CI/CD pipelines, source control management, and Infrastructure as Code. Strong analytical, troubleshooting, communication, and problem-solving skills. Knowledge of Generative AI tools to improve coding efficiency and developer productivity. These Will Help You Stand Out Experience with Apache Airflow or other workflow orchestration tools. Experience with GitHub Actions, automated testing frameworks, Git, and modern CI/CD practices. Knowledge of Docker, Kubernetes, OpenShift (OCP4), or containerized application deployment. Experience with Python, Shell Scripting, or other automation languages. Experience integrating Snowflake with reporting, analytics, and business intelligence platforms. We're excited to meet people who share our passion for technology and innovation 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 perspectives to this role. Salary And Other Compensation Applications will be accepted until September 17, 2026. The annual salary for this position is between CAD 53,000 – CAD 84,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off Long-term/Short-term Disability Paid Parental Leave Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Design, develop, and optimize scalable data platforms, ETL processes, and data pipelines using Big Data technologies and Snowflake. Collaborate with cross-functional teams to ensure data quality, security, and high-performance data processing.

Requires a Bachelor's or Master's degree and 5+ years of experience with Big Data technologies like Hadoop, Spark, and Hive. Proficiency in Snowflake, SQL, and application development using Scala or Java is essential.

• Medical Insurance • Dental Insurance • Vision Insurance • Life Insurance • Paid Holidays • Paid Time Off • Long-term Disability • Short-term Disability • Paid Parental Leave

• SQLPreferred
• CI/CDPreferred
• DockerPreferred
• Amazon Web ServicesPreferred
• JavaPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Snowflake
• Big Data
• ETL
• SQL
• Scala
• Java
• Hadoop
• Spark
• Hive
• AWS
• Apache Airflow
• CI/CD
• Data Modeling
• DevSecOps
• Python
• Docker

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Oct 3, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level