About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.
Role: Python Developer
Location: Plano, TX/Chicago, IL/ Charlotte, NC
Job Description:
• Expertise Python programming / web framework knowledge (like Django)
• Working knowledge and experience using threading limitation of Python and multi-process architecture.
• Familiarity with event driven programming in Python.
• Experience in scheduling jobs or trigger events programmatically.
• Hands on experience with JIRA, Agile methodology, source code management - GIT, SVN etc.
• Experience in Data Cleaning and Data transformation using Python
• Experience working with Pandas, Numpy and Regular Expressions in Python
• Identify Pattern and trends
• Strong understanding in building REST APIs/ Micro services architecture
• Good Development experience on Webservices(Flask), Web Apps
• Strong understanding of object-oriented programming
• Understanding of fundamental design principles for building a scalable application
• Proficient in implementing automated unit tests
• Hands on experience on L2 production support, incident management, code fixes using Python.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
