Closed listing
Platform Engineer (Netezza)
- Toronto, ON, Canada
Pay Rate: CAD 50-52/hour Incorporated · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- Pay Rate: CAD 50-52/hour Incorporated
- Job type
- Contract
- Closing date
- Experience
- 10+ years of experience in Data Engineering / Big Data / Platform
- 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 (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.
More about this job
Responsibilities
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.
Skills
- 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
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Engineering
- Software
- Finance & Accounting
Keywords
- AWS
- Netezza
- Amazon Redshift
- Apache Airflow
- MWAA
- AWS Glue
- IAM
- CloudWatch
- CloudFormation
- SQL Server
- PostgreSQL
- Teradata
- ETL
- ELT
- Data Pipeline
- Big Data
- BFSI
- Data Warehouse
- EMR
- EC2
- S3
- VPC
- RDS