Infosys is seeking a Data Engineer to transform data into actionable insights, driving business growth and operational efficiency, and to address complex business challenges by leveraging advanced AI and analytics.
Requirements
- Hadoop
- Spark
- DevOps
- ETL
- Python
- Scala
- Unix
Responsibilities
- Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
- Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
- Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
- Conduct code reviews, do changes to the codebase and maintain code repositories
- Implement test strategies, analyze results, and coordinate bug fixes to uphold the software quality standards
- Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
- Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Other
- 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.
- Financial Services Domain experience.
- Collaborative spirit and effective communication skills
- The ability to handle end to end SDLC phases from requirement gathering to implementation
- The candidate must be located within commuting distance of Phoenix, AZ or willing to relocate to the area.