Platform Engineer

Toronto, ON
Hybrid
Posted Oct 14, 2026
1 position

$60–$62 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Lead · 10+ 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

Support production data platforms and contribute to data engineering and platform engineering work across AWS and Hadoop ecosystems. Participate in data migration projects, including Hadoop-to-AWS and database migrations, and help optimize data queries and platform performance.

Job details

Job Title: Platform Engineer (10+ Years of exp.) Location: Toronto, ON Work Arrangement: Hybrid-2 days/ week Employment Type: Contract Pay Rate: CAD 60-62/hour Domain: BFSI Application Deadline: Oct. 30th, 2026 Skills: 10+ years of experience in Data Engineering / Big Data / Platform Engineering Hands-on experience in AWS and Hadoop ecosystems Should have good exp. with Netezza, SQL Server and PostgreSQL Hands-on exp. with SSIS and Shell Scripting Strong exp. in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift, AWS Glue, IAM, CloudWatch, CloudFormation, Airflow etc. 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 EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

What you’ll do

Requirements

Requires 10 or more years of experience in data engineering, big data, or platform engineering, with hands-on experience in AWS, Hadoop, Netezza, SQL Server, PostgreSQL, SSIS, and shell scripting. Candidates should have strong knowledge of AWS services, data migration, data warehousing, ETL design patterns, query optimization, and production platform support.