Data Platform Engineer –AWS cloud & Netezza

Toronto, ON
Hybrid
Posted Oct 20, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
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

Job summary

Design, develop, and support scalable data pipelines and ETL/ELT workflows, including orchestration and real-time processing with AWS, Airflow, Kafka, and Spark. Lead on-premises-to-AWS data platform migrations, optimize SQL and system performance, and collaborate with development, architecture, and infrastructure teams.

Job details

Role: Data Platform Engineer – AWS cloud & Netezza Location: Toronto, ON - Hybrid: 2 days a week in office Contract Role 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

What you’ll do

Requirements

The role requires extensive experience with AWS cloud services, mandatory Netezza experience, and hands-on skills with SQL, SSIS, and Unix/Linux environments. Strong data platform and Big Data expertise is expected; Python is an advantage.