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Added 14 mins ago
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Added 28 mins ago
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Added 58 mins ago
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Added 4 hours ago
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- Full-time
Added 4 hours ago
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VDC Associate
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Toronto, ON
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Added 4 hours ago
CO
Computer Systems Analyst I
College of the North Atlantic
Stephenville, NL
- Full-time
…securing and support of enterprise IT infrastructure, including server and network systems, security frameworks, and end-user computing environments across the…
Added 5 hours ago
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Coordinating Technician, On Air (T & I) (On-site) (On-call)
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Added 5 hours ago
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Kamloops, BC · Canada - Kamloops, BC
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IG
Network Security Administrator
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- $75,000 to $95,000 CAD / year
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Closed listing

K&K Global Talent Solutions INC.

Netezza- Platform Engineer

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Position: Netezza- Platform Engineer

Location: Toronto, ON (Onsite)

Employment Type: Full-Time

Experience Required: 10 + Years

Position Overview:

The ideal candidate will have 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. This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environment.

Key Responsibilities:

Design, develop, maintain and support scalable data pipelines using Big Data and AWS technologies
Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background.
Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and Spark Streaming
Perform data ingestion, transformation, and validation from multiple data sources Optimize SQL queries for performance and scalability
Monitor system performance, troubleshoot issues, and ensure system reliability
Collaborate with cross-functional teams including developers, architects, and infrastructure teams

Required Skills:

Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, Cloud Watch, Cloud Formation Airflow (or AWS Managed Workflows) Databases
Experience working with Netezza is mandatory
SQL-based systems: SQL Server and Postgres SQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Hands-on experience with SSIS Programming & Scripting
Strong proficiency in SQL Shell scripting
Good to have Python Operating Systems
Strong experience in Unix/Linux environments

About employer

More about this job

Responsibilities

Design, develop, maintain, and optimize scalable data pipelines, ETL/ELT processes, and orchestration workflows using Big Data technologies and AWS services. Support data platform migrations from on-premises environments to AWS, process batch and streaming data, optimize SQL, and ensure system reliability in collaboration with cross-functional teams.

Requirements

Requires 10+ years of experience and mandatory hands-on experience with Netezza, along with strong AWS, SQL, SSIS, and Unix/Linux expertise. Candidates should also have experience with data warehousing, Airflow, shell scripting, and cloud migration; Python is an advantage.

Skills

Netezza
AWS
Data Pipelines
ETL/ELT
SQL
SSIS
Airflow
Apache Kafka
Spark Streaming
Unix/Linux
Shell Scripting
Python
Data Warehousing
Cloud Migration
Data Ingestion
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Netezza
AWS
Amazon EMR
Amazon EC2
Amazon S3
Amazon VPC
Amazon RDS
Amazon Redshift
AWS Glue
AWS IAM
Amazon CloudWatch
AWS CloudFormation
Apache Airflow
SSIS
Pentaho
SQL Server
PostgreSQL
Teradata
SQL
Shell Scripting
Python
Unix
Linux
Apache Kafka
Spark Streaming
ETL/ELT
Data Warehousing
Data Pipelines
Cloud Migration
Data Validation

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