Data Platform Engineer –AWS cloud & Netezza
- Toronto, ON, Canada
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Original job description
Role: Data Platform Engineer – AWS cloud & Netezza
Location: Toronto, ON - Hybrid: 2 days a week in office
Contract Role
Job Summary
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. 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 Technical Skills
Cloud Technologies
Strong experience in AWS Cloud services:
EMR, EC2, S3, VPC, RDS, Redshift
AWS Glue, IAM, CloudWatch, CloudFormation
Airflow (or AWS Managed Workflows)
Databases
Experience working with:
Netezza is mandatory
SQL-based systems: SQL Server and PostgreSQL
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
More about this job
Responsibilities
Design, develop, and support scalable data pipelines and ETL/ELT workflows, including orchestration and real-time processing with AWS, Airflow, Kafka, and Spark. Lead on-premises-to-AWS data platform migrations, optimize SQL and system performance, and collaborate with development, architecture, and infrastructure teams.
Requirements
The role requires extensive experience with AWS cloud services, mandatory Netezza experience, and hands-on skills with SQL, SSIS, and Unix/Linux environments. Strong data platform and Big Data expertise is expected; Python is an advantage.
Skills
- AWS Cloud
- Netezza
- Big Data
- Data Platform Engineering
- Data Pipelines
- ETL/ELT
- AWS EMR
- Amazon S3
- Amazon EC2
- Amazon Redshift
- AWS Glue
- Apache Airflow
- Apache Kafka
- Apache Spark Streaming
- SQL
- Unix/Linux
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- AWS Cloud
- Netezza
- Big Data
- Data Platform Engineering
- Data Pipelines
- Data Platform Modernization
- Cloud Migration
- Data Warehousing
- ETL/ELT
- SSIS
- Pentaho
- AWS EMR
- Amazon S3
- Amazon EC2
- Amazon VPC
- Amazon RDS
- Amazon Redshift
- AWS Glue
- AWS IAM
- Amazon CloudWatch
- AWS CloudFormation
- Apache Airflow
- Apache Kafka
- Apache Spark Streaming
- SQL Server
- PostgreSQL
- Teradata
- SQL
- Shell Scripting
- Unix/Linux