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Data Engineer

Infosys
Infosys Salary
Raleigh, NC Full Time
POSTED ON 3/9/2025
AVAILABLE BEFORE 4/6/2025

Infosys is seeking a Data Engineer and in this role, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition 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.


Candidate must be located within commuting distance of Raleigh, NC, Charlotte, NC or Richardson, TX or be willing to relocate to the area. This position may require travel within the US and Canada.



Required Qualifications:

  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in a specialty in lieu of every year of education.
  • Atleast 4 years of experience in Information Technology.
  • Atleast 3 years of Pyspark experience.
  • At least 2 years of experience in Hadoop, Spark, Python & PySpark
  • Good experience in end-to-end implementation of data warehouse and data marts
  • Strong knowledge and hands-on experience in SQL, Unix shell scripting


  • Preferred Qualifications:
  • Good understanding of data integration, data quality and data architecture
  • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
  • Good understanding of Agile software development frameworks
  • Experience in Banking domain
  • Strong communication and Analytical skills
  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
  • Experience and desire to work in a global delivery environment

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