Nexdigm Hiring Drive 2024 For Data Engineer II | Location Pune

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Nexdigm Hiring Drive 2024: Nexdigm Hiring Drive 2024 for its Data Engineer II. Nexdigm Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s Degree, Master’s Degree. if you are interested, please apply as soon as possible.

Company Name: Nexdigm

Role: Data Engineer II

Location: Pune, Gurugram

Experience: 2-4 Years

Qualification: Bachelor’s Degree, Master’s Degree 

Batch: Any

Job Type: Full Time

Salary: 4.0 to 9.0 LPA (Expected)

Nexdigm Hiring Drive 2024 


  • To be tailor-fit for the above skillsets, you need to have,
  • Mandatory more than 1-3 years of experience of working on IBM Cognos TM1 / ERP (SAP) / Reporting & Planning Tools, data warehousing systems like FDW / BW etc.
  • Experience of extracting reports and uploading data from / to Reporting and Planning Platforms, ERP systems including TM1, SAP, BW, FDW etc. 
  • Strong documentation skills
  • Familiar with medical industry not a must 
  • Familiar with handling SQL / Teradata
  • Overall 2-4 years of relevant hands-on experience in data engineering/DWH/ETL/Visualization
  • Domain experience in any of the domains: BFSI / Healthcare / Retail
  • Technical experience is desired in the following areas:
  • Proficiency in any 3 of SQL Server, Oracle, MySQL, Teradata, HIVE, MongoDB, Python, R
  • Visualization experience in any 2 of Tableau, Qlikview, Power BI, D3
  • Experience of working with large data sets
  • Basic knowledge of DWH creation and various schemas
  • Experience in ETL and building data pipelines
  • Programming experience (C, C++, UNIX) a plus
  • API creation experience a plus
  • Ability to communicate with Client directly


  • Skillsets we would like to see you exhibit :
  • Working to tight deadlines and international time-zones
  • Strong Team Player
  • Eagerness to learn new systems and take more responsibilities
  • Customer Focus
  • Challenge status quo and process improvements approach with a ‘can do’ approach
  • Ability to thrive in a multi-cultural environment across all layers of the business
  • Excellent communication skills
  • Staying focused even in times of multiple requests
  • ETL 
  • Ability to work individually
  • Understand client requirements, structure requirement into data engineering steps, perform ETL, Create data pipelines
  • Create reports/dashboards and share solution with data science/business/client team

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