Sr. Data Engineer (Scala Spark) to design and build a stack of data services on premise and in AWS cloud for a banking client

Position: Senior Data Engineer

Duration: 12 months with possible extension

Location: remote anywhere is Canada

Must have:

• 7+ years of experience as a Data Engineer (Core Java, Spring Boot, Scala, Spark) in the cloud environment - AWS (i.e. S3, Aurora, Glue family, etc.)
• Relational Database (i.e. SQL server, Oracle, PostgreSQL, etc.)
• Data Catalog and Lineage products (i.e. Informatica, Menta, etc.)
• Data virtualization products (i.e. Dremio, Denodo, etc.)
• Docker (i.e. OpenShift/AWS ECS fargate,e tc.)
• DevOps integration (CI/CD with GitHub, Maven, etc.)

Nice to have:

- Other Java frameworks (i.e. Apache Camel, Spring Batch)

- Python

- AMPS, in-memory cache/data platform (MemSQL, Ignite, etc.)

- Elastic/ELK stack or Grafana, etc. dashboard tools

- Other AWS components (i.e. SageMaker, RedShift, etc.)