AWS Data Engineer

Apptoza Inc.; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Job summary

Apptoza Inc. in Toronto (Hybrid) seeks an experienced AWS Data Engineer to build scalable data pipelines and cloud data platforms for banking and financial services.

You will work with Python, PySpark, and SQL, using Redshift, Athena, EMR, and other AWS data services to transform, validate, and govern data, while implementing CI/CD and infrastructure automation. 8+ years of experience is expected.

Qualifications

• 8+ years of experience in data engineering or related field.
• Experience building scalable data pipelines for banking/finance.
• Proficiency with AWS data services and ETL/ELT.

Responsibilities

• Build data processing solutions using Python, PySpark, and SQL.
• Work with Redshift, Athena, and EMR for storage and analytics.
• Perform data transformation, validation, reconciliation, and quality checks.
• Optimize data pipelines and troubleshoot production issues.
• Implement CI/CD and infrastructure automation using Git, Jenkins, Terraform/CloudFormation.
• Collaborate with data architects, developers, and business teams.
• Follow banking security, compliance, and data governance standards.

Skills

AWS

S3

Glue

Redshift

Athena

EMR

Lambda

Python

PySpark

SQL

ETL/ELT

Data Warehousing

Git

CI/CD

Tools

Kafka/Kinesis

Snowflake

Databricks

Airflow/MWAA

Terraform

Job description

Location: Toronto, ON Hybrid

Contract: Long Term | Experience: 8+ Years

Job Summary

Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications.

Key Responsibilities

• Build data processing solutions using Python, PySpark, and SQL.
• Work with Redshift, Athena, and EMR for data storage and analytics.
• Perform data transformation, validation, reconciliation, and quality checks.
• Optimize data pipelines and troubleshoot production issues.
• Implement CI/CD and infrastructure automation using Git, Jenkins, Terraform/CloudFormation.
• Collaborate with data architects, developers, and business teams.
• Follow banking security, compliance, and data governance standards.

Must-Have Skills

AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD

Preferred

• Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform.
• Experience with financial, customer, transaction, or regulatory data.