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    Azure Data Engineer - Bangalore, India - Talent Bee Consulting Pvt Ltd

    Talent Bee Consulting Pvt Ltd
    Talent Bee Consulting Pvt Ltd Bangalore, India

    5 days ago

    Default job background
    Full time Technology / Internet
    Description

    About the job :

    Ideal Candidate :

    • 3+ years in Azure Data Engineering
    • Very good at ADF (Azure Data Factory)
    • Hands-on experience in designing and implementing data solutions on Azure Organization : A global provider of Automation solutions in Assembly, Inspection, and Testing for manufacturing industries.
    With a mission to enhance the efficiency of the manufacturing processes of their customers by providing innovative technological solutions.

    Over the last 16+ years, they have been providing automation solutions that are scalable and cost-effective.

    Roles And Responsibilities :

    We are seeking an experienced Azure Data Engineer with 4 to 5 years of hands-on experience in Azure Data Factory (ADF), Databricks, and Python.


    In this role, you will be responsible for designing, implementing, and managing data solutions on Microsoft Azure, with a specific focus on ADF, Databricks, and Python scripting.


    You will collaborate with cross-functional teams to gather data requirements, develop efficient data pipelines, and ensure data quality and integrity.


    Key Responsibilities :

    • Design and implement data solutions on Azure using ADF, Databricks, Stream Analytics / Spark
    • Develop and optimize data pipelines to extract, transform, and load data from various sources into Azure data lakes
    • Collaborate with data architects and business stakeholders to understand data requirements and translate them into technical solutions.
    • Implement data integration and data transformation processes using ADF and Databricks.
    • Perform data profiling, validation, and cleansing activities to ensure data accuracy and consistency.
    • Develop and maintain data orchestration workflows and scheduling using ADF.
    • Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
    • Optimize data storage and retrieval processes for performance and cost-efficiency.
    • Implement data security and privacy measures, including data encryption and access controls.
    • Document technical specifications, data mappings, and data lineage for future reference.

    Candidate :

    • Bachelor's degree in Computer Science, Information Technology, or a related field.
    • 3 to 5 years of hands-on experience in designing and implementing data solutions on Azure, with a focus on ADF, Databricks, Stream Analytics / Spark
    • Strong proficiency in ADF, including pipeline development, data integration, and orchestration.
    • Experience with Databricks for data transformation, ETL processes, and data analytics.
    • Proficiency in Python scripting for data manipulation, transformation, and automation.
    • Solid understanding of data modeling, data warehousing concepts, and data integration patterns.
    • Experience with data profiling, data quality management, and data governance practices.
    • Familiarity with Azure services like Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB.
    • Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.
    • Excellent communication and collaboration skills to work effectively with cross-functional teams.)
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