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Guwahati

    Senior IT Data Analyst - Guwahati, India - Dotflick Solutions

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    Description

    Role :
    Senior IT Data Analyst


    Job Description :

    • Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations.
    • Structure and design the data landscape of the organization.

    Look further on the following topics :

    • Data availability : Connecting, moving, and generating datasets for consumption.
    • Transformation : Feature creation, data cleansing, reexpression.
    • Visualization : Exploratory data analysis, intuitive presentation of findings.
    • Dashboarding : Guiding the deliverable consumption platforms and visuals.
    • Integration : Linking the data workflow with client production systems.
    • Work with Project Managers, Data Engineers, and Solution Architects to execute tasks/projects.
    • Experience in designing and deploying highly scalable cloudbased solutions (client service delivery experience on Azure), including storage, rolebased access control, networking, virtual machines, and security compliance.
    • Experience in designing enterprise data model.
    • Experience dealing with modern complex privacy and security requirements for storing personal information.
    • Experience in realtime data and streaming applications.
    • Experience in developing data ingestion, data processing, and analytical pipelines for relational databases, NoSQL, and data warehouse solutions
    • Cloud migration methodologies and processes.
    • Extensive handson exp implementing data migration and data processing using Azure services : ADLS, Azure Data Factory, Data Warehouse, Spark, Hadoop, API, Azure Functions, Synapse, Azure SQL DB, HDInsight, Data bricks, Azure logic app, Mongo DB, Cosmo Db, etc.
    • Strong scripting and automation experience in Python, Java, and is a must.
    Good to have cloud-based technologies, microservices, and Bash.

    • Well versed in DevOps and CI/CD deployments

    Requirement :

    • Knowledge of configuration management tools.
    • Proven track record developing data engineering solutions.
    • Experience of working in Agile delivery.
    • Proven ability to work creatively and analytically in a problemsolving environment.
    • Proven ability to work independently.
    )

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