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
- Experience
- 5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.
- Posting language
- English
- Posted
Original job description
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.
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.
- 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.
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
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
Categories
- Data & Analytics
- Technology
- Software
- Engineering
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