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.

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 Postgres SQL Data warehouses: Teradata, Redshift, Netezza ETL Tools

Hands-on experience with: SSIS Programming & Scripting Strong proficiency in: SQL Shell scripting

Valuable to have: Python Operating Systems

Key Qualifications:
10+ years of experience in Data Engineering / Big Data / Platform Engineering

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

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📌 Big Data Engineer with Netezza (Ontario)
🏢 BULL INFORMATION SYSTEMS
📍 Ontario