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Sr Azure Data Engineer(Azure Databricks)
Ccube
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
Über
We are looking for an " Sr Azure Data Engineer (Azure Databricks) in Toronto, ON for a (Hybrid Role)."
Below is the JD for review.
Job Title- Azure Data Engineer (Azure Databricks)
Location-Toronto, ON (Hybrid)
Role- Full Time
Exp- 8-10 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
- 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.
Sprachkenntnisse
- English
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