Sr Azure Data Engineer Lead - Toronto - Ccube

    Ccube
    Ccube Toronto

    3 days ago

    Description

    Overview


    Hello Azure Data Professional

    We are looking for an "SrAzure Data Engineer Lead (Azure Databricks)" in Toronto, ON for a (Hybrid Role).

    Below is the JD for review.

    Job Details


    Job Title: Lead Azure Data Engineer (Azure Databricks)

    Location: Toronto, ON (Hybrid)

    Role: Full Time

    Exp 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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