Closed listing
Platform Engineer
- Toronto, ON, Canada
$50 to $53 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $50 to $53 CAD / hour
- Job type
- Contract
- Closing date
- Experience
- 10+ years of experience in Data Engineering / Big Data / Platform Engineering
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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.
More about this job
Responsibilities
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.
Skills
- AWS
- Hadoop
- Netezza
- SQL
- Data Migration
- ETL Design
- Query Optimization
- EMR
- S3
- Redshift
- AWS Glue
- Airflow
- PostgreSQL
- Teradata
- SSIS
- Shell Scripting
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Engineering
- Software
- Finance & Accounting
Keywords
- AWS
- Big Data
- Netezza
- SQL
- Hadoop
- Data Engineering
- Platform Engineering
- Data Migration
- Data Warehousing
- ETL
- Query Optimization
- EMR
- EC2
- S3
- VPC
- RDS
- Redshift
- AWS Glue
- IAM
- CloudWatch
- CloudFormation
- Airflow
- SQL Server
- PostgreSQL
- Teradata
- SSIS
- Shell Scripting
- BFSI
- Distributed Systems
- Real-time Data Processing