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Apptoza Inc.

AWS Data Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 26, 2026
Experience: Contract: Long Term | Experience: 8+ Years
Posting language: English
Posted: Oct 27, 2026

Original job description

AWS Data Engineer – Banking / Financial Services

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

Develop ETL/ELT pipelines using AWS Glue, S3, Lambda, Step Functions.
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

Preferred

Banking / Payments / Financial Services experience.
Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform.
Experience with financial, customer, transaction, or regulatory data.

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More about this job

Responsibilities

Develop and support scalable AWS data pipelines and cloud data platforms, including data processing, transformation, validation, reconciliation, and quality checks. Optimize pipelines, troubleshoot production issues, automate infrastructure and deployments, and collaborate with technical and business teams while following banking security, compliance, and governance standards.

Requirements

The role seeks an AWS Data Engineer with 8+ years of experience and strong skills in AWS data services, Python, PySpark, SQL, ETL/ELT, data warehousing, Git, and CI/CD. Banking, payments, or financial services experience is preferred, as is familiarity with financial, customer, transaction, or regulatory data.

Skills

AWS
Amazon S3
AWS Glue
Amazon Redshift
Amazon Athena
Amazon EMR
AWS Lambda
Python
PySpark
SQL
ETL/ELT
Data Warehousing
Git
CI/CD
Apache Kafka
Terraform

Visa sponsorship

Not detected in the job text

Keywords

AWS
Amazon S3
AWS Glue
Amazon Redshift
Amazon Athena
Amazon EMR
AWS Lambda
AWS Step Functions
Python
PySpark
SQL
ETL/ELT
Data Pipelines
Data Warehousing
Data Transformation
Data Validation
Data Reconciliation
Data Quality
Git
Jenkins
CI/CD
Terraform
CloudFormation
Banking
Financial Services
Payments
Apache Kafka
Amazon Kinesis
Snowflake
Databricks

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