The Consultant, Data Engineer will be responsible for developing data pipelines on cloud-native platforms, combining data from multiple sources across multiple domains
Job Summary
The Consultant, Data Engineer will be responsible for developing data pipelines on cloud-native platforms, combining data from multiple sources across multiple domains.
You will work closely with Data Product owners and Lead Data Engineers to understand business requirements, design and execute the build of data products in the most scalable and efficient manner.
CIBC offers a hybrid work arrangement with 1-3 days per week on-site, competitive salary, incentive pay, banking benefits, and a defined benefit pension plan.
Matching Summary
The Consultant, Data Engineer will be responsible for developing data pipelines on cloud-native platforms, combining data from multiple sources across multiple domains.
Skills & Requirements
Must-have
Cloud-native platform development
Combine data from multiple sources
Develop functional / declarative pipelines
PySpark, Scala, and SparkSQL proficiency
Parallel processing principles (Spark, MapReduce)
CI/CD Principles, GitHub, agile/scrum
Nice-to-have
Strong business acumen
Simplify complex problems
Troubleshooting and analytical thinking
Accountability and time management
Embrace and champion change
Act like an owner
Key Requirements
3-5 years' experience delivering data solutions with cloud-native platforms
Legally eligible to work at the specified location(s)