Neudesic Technologies | Jobs | Azure Data Engineer | BigDataKB.com | 02-02-22

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    Job Location: Bangalore/Bengaluru

    Must Have Skills:

    • Prior experience in ETL, data pipelines, data flow techniques using Azure Data Services
    • Working experience in Python, Scala, PySpark, Azure Data Factory, Azure Data Lake Gen2, Databricks, Azure Synapse and file formats like JSON & Parquet
    • Experience in creating ADF Pipelines to source and process data sets.
    • Experience in creating Databricks notebooks to cleanse, transform and enrich data sets.
    • Good understanding about SQL, Databases, NO-SQL DBs, Data Warehouse, Hadoop and various data storage options on the cloud.
    • Development experience in orchestration of pipelines
    • Experience in deployment and monitoring techniques
    • Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources.
    • Experience in handling operations/Integration with source repository
    • Must have good knowledge on Datawarehouse concepts and Datawarehouse modelling

    Good to Have Skills:

    • Familiarity with DevOps, Agile Scrum methodologies and CI/CD
    • Domain-driven development exposure
    • Analytical / problem solving skills
    • Strong communication skills
    • Good experience with unit, integration and UAT support
    • Able to design and code reusable components and functions
    • Should able to review design, code & provide review comments with justification
    • Zeal to learn new tool/technologies and adoption
    • Power BI and Data Catalog experience

    Responsibilities

    • Analyze business problems and design technology solutions
    • Ability to understand the data transformation requirements and implement the same in an optimum solution using Azure data services
    • Capable to participate in customer discussion and suggest solutions as necessary
    • Ability to carry out the data modeling activities and deliver the solution in agreement with baselined time & quality
    • Stay focused on-task completion and delivery
    • Supporting existing processes and implementing change requirements as part of a structured change control process
    • Working in a project environment, communicating any identified risks and issues to the project manager accordingly and providing inputs to the change control process
    • The consultant need to be hands-on and highly technical. Consultant will be in a customer facing role and accountable for the end-to-end technology delivery and deployment experience of data pipelines using Azure data services.
    • Perform data cleansing, data validation, sanity checking, and unit testing associate with it
    • Perform production cutover activities from a technical perspective

    Apply Here

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