AWS Data Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Contract: Long Term | Experience: 8+ Years
- Posting language
- English
- Posted
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
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, using services such as Glue, S3, Lambda, Step Functions, Redshift, Athena, and EMR. Transform, validate, and reconcile data; maintain data quality; optimize pipelines; troubleshoot production issues; automate deployments; and follow banking security, compliance, and governance standards.
Requirements
The role requires 8+ years of experience and hands-on skills in AWS, Python, PySpark, SQL, ETL/ELT, data warehousing, 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 Lambda
- AWS Step Functions
- Amazon Redshift
- Amazon Athena
- Amazon EMR
- Python
- PySpark
- SQL
- ETL/ELT
- Data Pipelines
- Data Warehousing
- Data Transformation
- Data Validation
- Data Reconciliation
- Data Quality
- CI/CD
- Git
- Jenkins
- Terraform
- CloudFormation
- Banking
- Financial Services
- Payments
- Data Governance
- Kafka
- Kinesis
- Snowflake