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Cognizant

Big Data Developer

Toronto, ON, Canada

$53,000 to $108,000 CAD / year · Full-time

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Job details

Pay: $53,000 to $108,000 CAD / year
Job type: Full-time
Apply by: Nov 9, 2026
Experience: 5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.
Posting language: English
Posted: Oct 2, 2026

Original job description

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 November 14, 2026.

The annual salary for this position is between CAD 53,000 – CAD 108,000 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.

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More about this job

Responsibilities

Design, develop, and maintain scalable data pipelines, ingestion frameworks, and ETL processes using Big Data technologies and Snowflake. Optimize SQL, stored procedures, data models, data quality, security, governance, and platform operations to support business-critical analytics and reporting.

Requirements

A bachelor's or master's degree in a relevant field and at least five years of experience building data solutions with technologies such as Hadoop, Spark, and Hive are required. Candidates should have hands-on Snowflake experience, strong SQL and data modeling skills, Scala or Java development experience, familiarity with ETL and orchestration tools, cloud platforms, and DevSecOps practices.

Skills

Big Data
Snowflake
Hadoop
Spark
Hive
SQL
Data Modeling
Scala
Java
ETL
Apache Airflow
AWS
DevSecOps
CI/CD
Infrastructure as Code
Generative AI

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Paid Holidays
Paid Time Off
Long-Term Disability
Short-Term Disability
Paid Parental Leave
Discretionary Annual Incentive Program

Visa sponsorship

Not detected in the job text

Keywords

Big Data
Snowflake
Hadoop
Apache Spark
Apache Hive
SQL
Stored Procedures
Data Modeling
Scala
Java
ETL
Informatica
Talend
Apache Airflow
AWS
DevSecOps
CI/CD
Source Control Management
Infrastructure as Code
GitHub Actions
Automated Testing
Git
Docker
Kubernetes
OpenShift
Python
Shell Scripting
Data Pipelines
Data Governance
Generative AI

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