TransUnion is hiring for Data Engineer-Fresher

www.jobinvent.com 10 Oct 2022
Company Name
TransUnion
Company Website
https://www.transunion.com/
Experience
0-3 years
Job Role
Data Engineer-Fresher
Job Type
  • Fresher
  • Experienced
Job Location
  • Bengaluru/Bangalore
Skills
  • SQL
  • Python
Education
  • BS
  • MS
  • ITI
  • M.COM
  • BBA
  • MSc
  • BCS
  • CA
  • MCM
  • BE/BTech
  • ME/M.Tech
  • Diploma
  • Mcs
  • Bsc
  • BA
  • BCom
  • BCA
  • MCA
  • MBA
  • Graduate
Branch
  • IT
  • CS

Eligibility Criteria

• 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

Job Description

• 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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