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AWS Data Engineer
- Toronto, ON, Canada
Contract
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The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- Contract: Long Term | Experience: 8+ Years
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
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
AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD
Preferred
- Banking / Payments / Financial Services experience.
- Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform.
- Experience with financial, customer, transaction, or regulatory data.
More about this job
Responsibilities
Develop and support scalable AWS data pipelines and cloud data platforms, including ETL/ELT processing, data transformation, validation, reconciliation, and quality checks. Optimize pipelines, troubleshoot production issues, automate infrastructure and CI/CD, and collaborate with technical and business teams while following banking security, compliance, and governance standards.
Requirements
The role requires 8+ years of experience and hands-on 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 Kafka or Kinesis, Snowflake, Databricks, Airflow or MWAA, and Terraform.
Skills
- AWS
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon Athena
- Amazon EMR
- AWS Lambda
- Python
- PySpark
- SQL
- ETL/ELT
- Data Warehousing
- Git
- CI/CD
- Terraform
- CloudFormation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- AWS
- Amazon S3
- AWS Glue
- AWS Step Functions
- AWS Lambda
- Amazon Redshift
- Amazon Athena
- Amazon EMR
- 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
- Data Governance
- Kafka
- Kinesis
- Snowflake