Platform Engineer
Design, develop, and support scalable data pipelines and distributed systems within the AWS and Hadoop ecosystems. Responsible for supporting production data platforms and executing complex data migration projects.
- Hybrid
- Toronto, ON
- Posted Aug 25, 2026
- Apply by Sep 24, 2026
- 1 position
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Job summary
Job Title: Platform Engineer (AWS, Big Data, Netezza, SQL) 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: Aug. 30th, 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 Experience supporting production data platforms 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.
What you’ll do
Design, develop, and support scalable data pipelines and distributed systems within the AWS and Hadoop ecosystems. Responsible for supporting production data platforms and executing complex data migration projects.
Requirements
Requires over 10 years of experience in Data or Platform Engineering with mandatory expertise in Netezza and AWS services. Must be proficient in SQL, shell scripting, and various ETL tools for performance tuning and optimization.
Listed skills
- SQLPreferred
- PostgreSQLPreferred
- Amazon Web ServicesPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS
- Hadoop
- Netezza
- SQL
- Data Migration
- ETL Design
- Query Optimization
- EMR
- S3
- Redshift
- AWS Glue
- Airflow
- PostgreSQL
- Teradata
- SSIS
- Shell Scripting
Job areas
- Data & Analytics
- Technology
- Engineering
- Software
- Finance & Accounting
Additional details
- 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