RQ11099 - Sr. DataOps/Cloud Data Engineer
$177,528–$213,034 year
On-siteToronto, Ontario, Canada
Toronto, Ontario, CanadaOn-siteFull Time$177,528–$213,034 yearSenior LevelAssociates DegreeMedium
Full TimeSenior LevelAssociates DegreeMedium
Job Summary
Design, develop, test, implement, and troubleshoot data pipelines using Databricks, Azure Data Factory, and AWS Glue, including complex data transformation procedures and models for data warehouses and lakehouses. Extract, transform, and load data from XLSX, CSV, JSON files, relational databases, and cloud storage while leveraging tools like Informatica IDMC. Work with structured and unstructured data on AWS services such as S3, Lambda, and StepFunctions. This 11-month contract requires 5 days onsite at 5700 Yonge St. in Toronto.
Required Qualifications
- Data engineering (pandas, pyspark)
- Data lakehouse solutions such as Databricks (Delta Lake)
- Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data
- Experience using AWS Services such as Glue, StepFunctions, Lambda, S3
- Extract/Transform/Load data using tools such as Informatica IDMC
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.