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Sr Azure Data Engineer Lead (Azure Databricks)

salary Salary :

$130,000 - 150,000 yearly

icon building Company : Ccube
icon briefcase Job Type : Full Time

Number of Applicants

 : 

000+

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Job Description - Sr Azure Data Engineer Lead (Azure Databricks)


Hello Azure Data Professional!

We are looking for an " Sr Azure Data Engineer Lead (Azure Databricks) in Toronto, ON for a (Hybrid Role)."
 
Below is the JD for review.
 
Job Title- :Lead Azure Data Engineer (Azure Databricks)
Location-Toronto, ON (Hybrid)
Role- Full Time
 
Exp- 10-12+ years

Skills:
  • Azure Data Lake Storage,
  • Azure Data Factory,
  • Azure Data Bricks,
  • Azure Synapse,
  • Azure Analysis Server,
  • Azure Devops,
  • Spark SQL,
  • SQL,
  • Data Modelling,
  • Data Warehousing,
  • Pyspark, Scala
Description:
  • Implemented end-to-end solution for migrating on-premises system to Azure Cloud.
  • Analysis of the requirements provided by the client and transforming them into functional and technical specifications.
  • Built the metadata driven Data Ingestion and Data Transformation pipelines using Azure Data factory
  • Have done the performance optimization using delta lake house in databricks
  • Built the complex business logic in Databricks using SparkSQL, SCALA and PySpark
  • Built the Spark applications for data extraction, transformation and aggregation from multiple file formats for analyzing and
  • transforming the data uncover insight into the customer usage patterns.
  • Creation of cubes on Visual Studio on top of Azure Synapse and ADLS which works as a consumption source for visualization on Power BI dashboards.
  • Created multiple complex and dynamic stored procedures using Azure Synapse and scheduled them Using ADF.
  • Have done the performance optimization for Databricks and Stored procedures and reduced the execution time to some extent.
  • Deployed all the Components from one environment to another environment Using Azure Dev ops.
  • Managed the team and responsible for requirement gathering, data modelling, capacity planning, sprint planning, developing and on time delivery of the project.

 
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