Creating input dataset from MongoDB, Flat files, AWS S3, Athena and Redshift connector
Creating the dataflow using Magic ETL (different type of tiles like SQL, Add Formula, Rank & Window, Pivot etc.,), SQL Transformation, Blend
Based on the required data from user assign the Personalized Data Permission (Row Level Security)
Data Governance, Metadata and User Management
Creating the views dataset with Joining, Union
Sandbox (Dev, QA and Prod instance)
Content Migration / Promotion
Optimization / Performance Tuning
SQL Queries
Creating the Apps, Dashboards and Applying the page filter, global date filter, formatting
Creating the cards using the different of charts / tables like bar, pie, line, gauge, table, pivot etc.,
Applying the Drill Up / Down / Thru on cards
Creating the Calculated Fields (Beast Mode) Like WTD, MTD, QTD and YTD, etc., formatting, color rules.
Creating the Variable, Control Filter
Capable for handle the KPIs.
Better to have AWS Cloud (DMS, S3, Glue, Athena and Redshift) or Any Cloud experiences.
Preferred Skills :
MongoDB
Redshift
AWS Glue & Athena
Confluence
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Apply Now Engineer • Hyderabad, Telangana, India
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