Senior AWS Data Engineer
Summary
Builds and maintains real-time data pipelines and batch processing systems for a Canadian bank, using AWS services like Glue, Kinesis, and Redshift to ingest, transform, and analyze financial data.
We are seeking hands-on candidates with 12+ years of experience in AWS Data Engineering and real-time messaging/streaming technologies for an opportunity with one of Canada's Big Five banks.
The ideal candidate should have strong practical experience with:
- AWS Glue (PySpark/Python)
- Amazon S3
- AWS Lambda
- Amazon Redshift
- Amazon DynamoDB
- Amazon Kinesis and/or Apache Kafka
- SQL
- Infrastructure as Code (AWS CDK or Terraform)
We are specifically looking for individual contributors who can hit the ground running and deliver hands-on technical work.