Position: Platform Engineer with Netezza Experience

Location: Toronto, ON (Onsite) Employment Type: Full-Time Experience: 10+ Years

Job Summary

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.

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 Require 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 PostgreSQL, 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
• Key Qualifications10+ years of experience in Data Engineering / Big Data / Platform Engineering