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Lead Consultant - Data Transformation

2 days ago Dallas, TX

Infosys is seeking a Lead Consultant - Data Transformation with experience in Customer and Operation areas. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

  • Candidate must be located within commuting distance of Houston, TX or Dallas, TX or be willing to relocate to the area. This position may require travel in the US
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
  • At least 7 years of experience with Information Technology
  • At least 5 years of experience with a focus on data transformations.
  • At least 3 years of experience in data modelling principles and data integration techniques.
  • At least 4 years of experience in data profiling, data cleansing, and data transformation processes.
  • Must be proficient on handling XML Inbound and Outbound in Talend. Knowledge of SOAP/REST web services will be an added advantage
  • Experience with process around creating products using data pools and supplier Smartsheets.
  • Ability to develop extension APIs for integrations, portals and imports
  • Excellent problem-solving and analytical skills to troubleshoot issues.
  • Experience and desire to work in a Global delivery environment
  • Excellent communication skills (written and verbal)
Preferred Qualifications:
  • Experience in Data Analysis, Data Migration, Data Validation, Data Cleansing, Data Verification, identifying data mismatch, Data Import, and Data Export
  • Prior experience with other MDM tools or cloud-based MDM solutions is advantageous
  • Knowledge in ETL process from various source systems to Staging area, from staging to Data Marts and data load
  • Strong communication and collaboration skills to work effectively with functional teams and stakeholders
  • Experience in Java technologies - J2EE framework and web technologies (JavaScript, HTML, XML, Web 2.0, J2EE development toolset) would be preferred.
  • Minimum of 5-7 years of experience in a data-focused role, such as a Data Engineer, ETL Developer, or Data Analyst.
  • Proven expertise in SQL and at least one programming language (e.g., Python, Scala).
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

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Client-provided location(s): Dallas, TX
Job ID: Infosys-138504BR
Employment Type: OTHER
Posted: 2025-09-11T18:37:05

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • HSA
    • Short-Term Disability
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • On-site/Nearby Childcare
  • Work Flexibility

    • Office Life and Perks

      • Commuter Benefits Program
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Sabbatical
    • Financial and Retirement

      • 401(K)
      • Relocation Assistance
    • Professional Development

      • Learning and Development Stipend
    • Diversity and Inclusion

      • Employee Resource Groups (ERG)