Platform Engineer

Role: Platform Engineer Toronto, ON Hybrid: 2 days a week in office Job Summary: We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing. This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environment. Key Responsibilities Design, develop, maintain and support scalable data pipelines using Big Data and AWS technologies Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background. Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and Spark Streaming Perform data ingestion, transformation, and validation from multiple data sources Optimize SQL queries for performance and scalability Monitor system performance, troubleshoot issues, and ensure system reliability Collaborate with cross-functional teams including developers, architects, and infrastructure teams Required Technical Skills Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, CloudWatch, CloudFormation Airflow (or AWS Managed Workflows) Databases Experience working with: Netezza is mandatory SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools Hands-on experience with: SSIS Programming & Scripting Strong proficiency in: SQL Shell scripting Good to have: Python Operating Systems Strong experience in Unix/Linux environments Key Qualifications 10+ years of experience in Data Engineering / Big Data / Platform Engineering Hands-on experience in AWS and Hadoop ecosystems Experience in data migration projects (e.g., Hadoop to AWS, DB migrations) Strong understanding of data warehousing concepts and ETL design patterns Expertise in query optimization and performance tuning Experience supporting production data platforms Bachelor’s degree in Computer Science, Engineering, or related field Preferred Qualifications Experience in Banking / Financial Services domain Experience with data lake architecture and governance Knowledge of DevOps tools and CI/CD pipelines Experience in platform engineering and framework development Soft Skills Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to work independently and lead initiatives Experience mentoring team members Nice to Have Experience with tools like Ansible, Git, JIRA Exposure to NoSQL databases (HBase, MongoDB) Experience in data masking and security frame

Design, develop, and support scalable data pipelines and distributed systems using Big Data and AWS technologies. Lead data platform modernization and migration initiatives from on-premises systems to the AWS Cloud.

Requires over 10 years of experience in Data or Platform Engineering with mandatory expertise in Netezza and AWS services. A bachelor's degree in Computer Science or a related field is required.

• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• AWS Cloud
• Big Data
• Netezza
• ETL/ELT
• Apache Airflow
• Apache Kafka
• Apache Spark
• SQL
• Python
• Unix/Linux
• Amazon EMR
• Amazon Redshift
• AWS Glue
• SSIS
• Data Warehousing
• Data Pipeline Design

• Data & Analytics
• Technology
• Engineering
• Software
• Finance & Accounting

Minimum education

Bachelor’s degree

Minimum experience

10+ years

Apply by

Sep 24, 2026

Posting language

English

Working hours

40 hours per week

Office presence

2 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available