Platform Engineer - Netezza

Platform Engineer Toronto, ON Hybrid (2 days per week in-person at Toronto office preferred) Skills: Data Warehouse~Digital : Microsoft Power Platform~Fivetran Data Engineering Platform Experience: 10+ Years 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) • 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: o EMR, EC2, S3, VPC, RDS, Redshift o AWS Glue, IAM, CloudWatch, CloudFormation o Airflow (or AWS Managed Workflows) Databases • Experience working with: o Netezza Experience is Mandatory *********** o SQL-based systems: SQL Server and PostgreSQL o Data warehouses: Teradata, Redshift, Netezza ETL Tools • Hands-on experience with: o SSIS Programming & Scripting • Strong proficiency in: o SQL o Shell scripting • Good to have: o Python Operating Systems • Strong experience in Unix/Linux environments ________________________________________ Key Qualifications: • 10+ years of experience in Data Engineering / Big Data / Platform Engineering and Netezza experience is Mandatory • 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 frameworks

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 environments to the AWS Cloud.

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

Identified from the job description. Confirm important requirements above.

• Netezza
• AWS Cloud
• Big Data
• ETL/ELT
• Airflow
• Kafka
• Spark Streaming
• SQL
• Shell Scripting
• Python
• Unix/Linux
• Redshift
• AWS Glue
• SSIS
• Data Warehousing
• Data Migration

Minimum education

Bachelor’s degree

Minimum experience

10+ years

Apply by

Aug 27, 2026