Back to results

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

Similar jobs hiring now

Search current openings

Original 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

Report this job