Platform Engineer (Netezza)
Develop, optimize, and troubleshoot cloud-based data pipelines and ETL workflows. Manage data integration and infrastructure automation using AWS services and Netezza.
- Hybrid
- Toronto, ON
- Posted Aug 25, 2026
- Apply by Sep 24, 2026
- 1 position
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Job summary
Job Title: Platform Engineer (Netezza) Location: Toronto, ON Work Arrangement: Hybrid-2 Days onsite Employment Type: Contract Duration: 12 Months Domain: BFSI Pay Rate: CAD 50-52/hour Incorporated Application Deadline: Sep 30th, 2026 SKILLS REQUIRED 10+ years of experience in Data Engineering / Big Data / Platform Strong hands-on experience with AWS Cloud services, including EMR, EC2, S3, VPC, RDS, and Amazon Redshift. Experience with AWS Glue, IAM, CloudWatch, and CloudFormation for data integration, security, monitoring, and infrastructure automation. Strong experience with Apache Airflow or AWS Managed Workflows for Apache Airflow (MWAA). Hands-on experience with Netezza. Strong knowledge of SQL-based database systems, including SQL Server and PostgreSQL. Experience working with enterprise data warehouse platforms, including Teradata, Amazon Redshift, and Netezza. Strong experience with ETL/ELT tools and data integration processes, including data extraction, transformation, loading, migration, and pipeline development. Ability to develop, optimize, monitor, and troubleshoot cloud-based data pipelines and ETL workflows. 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
Develop, optimize, and troubleshoot cloud-based data pipelines and ETL workflows. Manage data integration and infrastructure automation using AWS services and Netezza.
Requirements
Requires over 10 years of experience in Data Engineering with strong hands-on expertise in AWS Cloud services and Netezza. Proficiency in SQL-based database systems and enterprise data warehouse platforms is essential.
Listed skills
- SQLPreferred
- PostgreSQLPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS Cloud Services
- Amazon Redshift
- Netezza
- Apache Airflow
- AWS Glue
- SQL
- ETL/ELT
- Data Engineering
- PostgreSQL
- SQL Server
- Teradata
- AWS EMR
- AWS EC2
- AWS S3
- AWS VPC
- AWS RDS
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