RQ11099 - Sr. DataOps/Cloud Data Engineer
1-year 11-month contract (457 business days) - possible extension
ONSITE 5 days - 5700 Yonge St. Toronto'
Security Level: CRJMC
MUST HAVES:
· 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
Responsibilities:
Design, develop, test, implement, and troubleshoot:
· data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue
· complex data transformation procedures
· data models for data warehouses and lakehouses
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)
T4 RATE RANGE (7.25 billable hours per day)
RQ11099 - Sr. DataOps/Cloud Data Engineer • Toronto, ON, Canada
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