TransUnion Off Campus Drive 2022

TransUnion Off Campus Drive 2022 For Data Engineer | Fresher | BE/B.Tech/ME/M.Tech/MCA/BSc/BCA | 0-3 Years

 

TransUnion Off Campus Drive 2022 hiring for Data Engineer from BE/B.Tech/ME/M.Tech/MCA/BSc/BCA degree graduates from 2018 to 2022 batch at Bangalore location. The detailed eligibility and application procedure for are given below.

 

Recruitment :

Company Name :TransUnion

Job Role: Data Engineer

Qualification: Bachelor’s or master’s degree in Engineering (all disciplines)

 Experience: Freshers

Batch:  2018/2019/2020/2021/2022

Salary: 15 to 16 LPA (Expected)

Location: Bengaluru

Last Date: ASAP

 

 

What You’ll Bring for TransUnion Off Campus Drive:

  • Bachelor’s or master’s degree in Engineering (all disciplines) Computer Science / Computer Engineering Mathematics / Statistics / Sciences Finance / Economics
  • Experience – 0 to 3 years
  • A track record of outstanding academic performance
  • Strong analytical, creative, and interpersonal skills
  • Demonstrated problem solving and root cause analysis skills
  • Ability to work creatively and analytically in a problem-solving environment
  • Eagerness to contribute in a team-oriented environment
  • Effective communication (written and oral)
  • Familiarity with SQL, AWS and/ or Python or other programing/data mining language is desired

 

Impact You’ll Make for TransUnion Off Campus Drive:

  • Gather, Transform, Validate, aggregate and report on client data.
  • Analyze data to systematically apply in-house developed, complex analysis technology to test the data quality and create benchmark solutions.
  • Work directly with clients and other financial institutions to resolve critical issues in data quality
  • Work directly with client modelling teams to gather requirements based on clients’ need.
  • Analyze large amounts of trended client and industry data, identify red flags and perform root cause analysis.
  • Manipulate large amounts of (historical data), scrub, filter and select sample criteria for analysis
  • Produce and validate benchmarks based on clients’ specifications.
  • Enhance and improve the in-house technology suite for validating and reporting on new data.
  • Create documentation to define business needs.
  • Meet all operational SLAs to deliver high quality data in a timely and consistent manner
  • Develop data driven exploratory analysis to solve defined problems

 

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