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Fresher
Not Disclosed
  • Posted 13 hours ago
  • Be among the first 10 applicants

Job Description

Job Description

  • Should have good analytical skills and experienced in writing SQL queries
  • Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data using Python to uncover insights into the customer usage patterns.
  • Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL.
  • Metadata driven ingestion pipeline framework by using Azure Data Factory
  • Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks.
  • Involved in conducting the code review and Results with the Developers
  • Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF)
  • Knowledge of using GitHub for code versioning and devops deployment process.
  • Consume data and generate reports using Power BI
  • Good to have good exposure to USA Healthcare Insurance domain

More Info

Job Type:
Employment Type:

Key Skills

Azure Data Storage services

PySpark-SQL

Data bricks

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