Platform Engineer

Pacer Group; Toronto; Hybrid; CAD 69,000 - 73,000; Part time

Job summary

Pacer Group in Toronto is seeking a Senior Platform Engineer focused on data engineering and big data platforms for a 6–12 month contract. You will design, build, and optimize scalable data pipelines in AWS, leveraging EMR, Redshift, S3, and related services.

Prioritize data migration and performance tuning in a complex data ecosystem. Expect hands-on work with SQL-based systems (SQL Server, PostgreSQL), Netezza, and ETL tooling.

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.

Skills

Data Engineering

Big Data

Platform Engineering

AWS

Hadoop

ETL design patterns

Data migration

Query optimization

SQL

Shell scripting

Tools

Netezza

SQL Server

PostgreSQL

Teradata

Redshift

SSIS

Airflow

AWS EMR

EC2

S3

VPC

RDS

IAM

CloudWatch

CloudFormation

Airflow (AWS Managed Workflows)

Job description

Location: Toronto, ON

Work Arrangement: Hybrid (2 days a week in office)

Employment Type: Contract

Duration: 06-12 Months

Pay Rate: CAD 50-53/hour Incorporated

Domain: BFSI

Application Deadline: Sept. 15th, 2026

SKILLS REQUIRED:

• 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
• Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering
• 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.
• Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift, AWS Glue, IAM, CloudWatch, CloudFormation, Airflow (or AWS Managed Workflows)
• Experience working with: Netezza (Must), SQL-based systems: SQL Server and PostgreSQL, Teradata, Redshift and ETL Tools
• Hands-on experience with: SSIS
• Programming & Scripting: SQL, Shell scripting

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.