RQ11099 - Sr. DataOps/Cloud Data Engineer
Summary
Senior DataOps/Cloud Data Engineer builds and maintains data pipelines using Databricks, AWS Glue, and Azure Data Factory to process structured and unstructured data into lakehouse and warehouse models.
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)
- $85.35/hr - $102.42/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
- $68.28/hr - $81.94/hr T4