Azure Databricks Developer job at Infosys Limited Digital. Phoenix, AZ. Job details Country USA State / Region / Province Arizona, North Carolina, Texas Work Location Phoenix, AZ, Raleigh, NC, Richardson, TX Domain Delivery Interest Group Infosys Limited Skills Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Cloud Platform|Azure Development & Solution Architecting, Technology|Functional Programming|Scala Company ITL USA Requisition ID 118930BR Job description Infosys is seeking an Azure Databricks Developer with strong Data Engineering background. In this role, you will provide technical guidance to teams; anchor Proof of Concept developments and support opportunity identification and pursuit processes and evangelize Infosys brand. You will collaborate with some of the best talent in the industry to create and implement innovative high-quality solutions. 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 Raleigh, NC or Richardson, TX or Phoenix, AZ or be willing to relocate to the area • 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. • US citizenship and those authorized to work in the US are encouraged to apply. • At least 4 years of experience in Information Technology. • Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. • Hands-on experience with Spark or Scala • Good experience in end-to-end implementation of data warehouse and data marts Preferred Qualifications: • Strong understanding of databases and big data software technologies, specifically Azure and Databricks. • Experience with Agile methodologies, particularly Scrum. • Experience in coordinating with offshore data engineering teams • Experience with scripting languages like Python, Java, etc. • Strong problem-solving skills related to data, data structures, and algorithms. • Experience/Knowledge of Healthcare domain is a plus • Experience working in a Global Delivery environment, client stakeholders spread across the globe to accomplish project goals • Ability to work in team in diverse/ multiple stakeholder environment • Excellent verbal and written communication skills The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading 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 outstanding 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 is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. To learn more about Infosys and see our perspectives in action please visit us at
Job Type
Fulltime role
Skills required
Azure
Location
Phoenix, Arizona
Salary
No salary information was found.
Date Posted
June 12, 2025
Infosys Limited Digital is seeking an Azure Databricks Developer in Phoenix, AZ, with a strong background in Data Engineering and experience in Azure and Databricks. The role involves providing technical guidance, collaborating on innovative solutions, and supporting data engineering projects.