Senior Platform Engineer

Apptoza Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Apptoza Inc. is seeking a senior Data Engineer to advance our cloud data platforms in a high-demand environment. You will design and implement data pipelines across AWS services and Hadoop ecosystems, focusing on scalable data warehousing and ETL patterns.

The role requires extensive hands-on experience, including data migration projects from on-premises to AWS, and a strong emphasis on query optimization and performance tuning.

Qualifications

• 10+ years of experience in Data Engineering / Big Data / Platform
• 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
• Bachelor’s degree in Computer Science, Engineering, or related field

Skills

SQL

Shell scripting

Unix/Linux

Python

Education

Bachelor's degree in Computer Science / Engineering or related field

Tools

SSIS

Airflow

AWS Glue

CloudFormation

CloudWatch

IAM

Netezza

Redshift

Teradata

SQL Server

PostgreSQL

Job description

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

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.