Infosys is a global leader in next-generation digital services and consulting, and they are seeking Python Developers with MongoDB experience for a critical Migration Project in the Service Activation domain. The role involves developing Python scripts for data migration, analyzing production data, and collaborating with teams to ensure service continuity.
Develop and execute robust Python scripts for data migration and transformation
Analyze and handle production data with a high degree of accuracy and security
Monitor and interpret logs using Splunk to identify and resolve issues
Collaborate with cross-functional teams to ensure smooth migration and service continuity
Troubleshoot and resolve production issues in real-time
Participate in code reviews and contribute to continuous improvement initiatives
Qualification
Required
Candidate must be located within commuting distance of Denver, CO 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
At least 2 years of Information Technology experience
At least 2 years of hands-on experience in Python development, especially in scripting for automation and data processing
Proficiency in working with MongoDB for data storage and retrieval
Experience in handling production environments and resolving live issues
Familiarity with Splunk for log monitoring and analysis
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
Preferred
Working knowledge of PL/SQL and relational databases
Exposure to Data Warehousing concepts and tools
Experience in telecom or service activation domains is a plus
Strong experience in Datawarehouse, ETL
Strong analytical and problem-solving skills
Ability to work independently and in a team-oriented environment
