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Azure Data Engineer

Infosys

Infosys

Data Science
Phoenix, AZ, USA · Tempe, AZ, USA · United States
Posted on Apr 8, 2025
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Job details

Work Location

Phoenix, AZ, Tempe, AZ


State / Region / Province

Arizona


Country

USA


Domain

Delivery


Interest Group

Infosys Limited


Skills

Technology|Business Intelligence - Visualization|MSBI (Power BI), Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Cloud Platform|Azure Development & Solution Architecting


Company

ITL USA


Requisition ID

131398BR


Job description





Infosys is seeking an Azure Lead Developer . The position will primarily be responsible interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements, Design, Development. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, 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 ofc Tempe or Phoenix, Arizona or be willing to relocate to the area. This position may require travel.
  • Bachelor’s degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of Information Technology experience
  • All applicants authorized to work in the United States are encouraged to apply
  • At least 3 years of professional experience in Azure, ADF, PowerBi, Spark/PySpark.
  • Good understanding of Azure Data Lake, Data Warehousing concepts
  • Ability to develop Azure data solutions and implement DWH concepts
  • Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
  • CI CD experience
  • Working knowledge of Talend ETL tool.
  • Participate in design and implementation of the Data Lake, big data migration using Azure cloud as platform
  • Experienced in working closely with Health Care clients to deliver Data & Analytics projects.
  • Experience and desire to work in a Global delivery environment.
Preferred Qualifications:
  • Ability to collaborate with data scientists and analysts to facilitate the availability of clean, structured data for analytical purposes.
  • Excellent communication and interpersonal skills are required.
  • Hands-on experience in programming language such as Python/Pyspark/Scala
  • Experience in working in Agile teams and working independently with Business stakeholders providing solutions and regular updates.
  • Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage.
  • Proven analytical and problem-solving skills.
  • Ability to lead large complex projects with limited direction.
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.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
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