Rq11099 - Sr. Dataops/Cloud Data Engineer - $68.3 - $102.4 An Hour
Posted
Summary
Senior DataOps/Cloud Data Engineer on a ~1-year onsite contract in Toronto: designing, building, and troubleshooting data pipelines, lakehouse models, and complex transformations using Databricks, AWS (Glue, Lambda, S3), Azure Data Factory, and Informatica IDMC. Paid hourly, with T4 and incorporated rate ranges.
RQ11099 - Sr. DataOps/Cloud Data Engineer1-year 11-month contract (457 business days) - possible extensionONSITE 5 days - 5700 Yonge St. TorontoSecurity Level: CRJMC
MUST HAVE
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
RESPONSIBILITIESDesign, 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 DISCLAIMERthe company may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
NOTEThe 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
MUST HAVE
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
RESPONSIBILITIESDesign, 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 DISCLAIMERthe company may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
NOTEThe 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