AWS QuickSight Engineer Data Analysis,



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Project Description

Team need to work customer application with respect to development and enhancements. Need to provide solutions to customer product with respect to following analytics features
Security - security compliance with respect to customer data
Metadata - data reload intervals
Orchestration + ELT processes - data is being pushed from the Raw Layer, through the Cleansed to the Sandbox and Application layer for other uses purposes.


    AWS Quicksight developer −
    Should have relevant work experience in analytics, reporting and business intelligence tools Spark, PySpark
    Understanding customer requirements and design solution in AWS to setup ETL and Business Intelligence environment.
    Understanding different AWS services, their use and configuration.
    Proficient in using SQL, ETL, Data Warehouse solutions and databases in a business environment with large-scale, disparate datasets.
    Complex quantitative and data analysis skills.
    Understanding AWS IAM policies, roles and administrator of AWS services.
    Experience with at least 1 scripting language such as (Perl, Python or PowerShell)
    • Experience with the following AWS storage, DB and application integration services such as: Glue, Redshift, Lamda,S3, Athena, CloudWatch, DataLake, RDS
    • Experience monitoring for complex AWS environments
    • Experience with a relational databases
    •Experience in Insurance or Financial services


Must have

    Good experience in Quicksight

Nice to have

    • AWS Certified Solutions Architect Associate
    • Desire to optimize and automate processes


English: C2 Proficient



Relocation package

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Work Type

Other Packaged Software

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