Bloom Energy India Pvt Ltd | Jobs | Engineer – Data Warehouse | BigDataKB.com | 02-04-22

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Job Location: Bangalore/Bengaluru

Role and Responsibilities

  • Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities from different types of data sources using SSIS
  • Gather requirements and business process knowledge in order to transform the data in a way that s geared towards the needs of end users
  • Work with the business in designing and delivering correct, high quality data
  • Investigate data to identify potential issues within ETL pipelines , notify end-users and implement adequate solutions
  • Conducting preliminary testing of the warehousing environment before data is extracted.
  • Coding SQL queries(creating tables Index, function stored procedure ,Pivot Unpivot )required for data cleansing and data transformation activities
  • Maintain, improve, and develop new scheduled reports, ad-hoc reports to support needs of various teams
  • Maintain and improve already existing processes.
  • Providing L1 support for DW application to ensure high availability.
  • Prepare documentation for further reference
  • Contribute in new developments and enhancements to existing applications.

Skills and Experience:

  • Preferred engineering background with about 3-4 years of experience in IT field.
  • Extensive knowledge of data base coding languages (TSQL).
  • Experience in Microsoft Data base and BI Tools – MS SQL Server ,SSIS and SSRS
  • Good understating of DW modeling concept (Dimension , Fact , Measures , Star Snow flake schema)
  • Proven work experience as an ETL developer, using SSIS.
  • Experience in any one of the reporting tools like SSRS, Qlickview and Tableau preferred
  • Good understanding in any of the coding language .Net Python would be a plus
  • Ability to interface across departments internally, including Operations, Manufacturing.
  • Must be willing and flexible to learn new tools and technology and openness to work in unknowns
  • Good analytical skills and high attention to detail
  • Ability to be creative, versatile, efficient and productive
  • Excellent communication (written and verbal) and interpersonal skills

Apply Here

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