AWS Data Engineer – Data Warehouse & Netezza Migration

AWS Data Engineer – Data Warehouse & Netezza Migration

Work

Arrangement

Hybrid

–

2

days

a

week

in

office

Location

Toronto,

ON

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.

Key

Qualifications

• 10+ years of experience in Data Engineering / Big Data / Platform Engineering.
• Hands-on experience in AWS and Hadoop ecosystems.
• Experience in data migration projects (e.g., Hadoop to AWS, DB migrations).
• Strong understanding of data warehousing concepts and ETL design patterns.
• Expertise in query optimization and performance tuning.
• Experience supporting production data platforms.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Preferred

Qualifications

• Experience in Banking / Financial Services domain.
• Experience with data lake architecture and governance.
• Knowledge of DevOps tools and CI/CD pipelines.
• Experience in platform engineering and framework development.

Soft

Skills

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and lead initiatives.
• Experience mentoring team members.

Nice

to

Have

• Experience with tools like Ansible, Git, JIRA.
• Exposure to NoSQL databases (HBase, MongoDB).
• Experience in data masking and security frame