Infosys is seeking a Python Developer. This position will interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high-level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. This is an opportunity to 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 Mississauga, Ontario or be willing to relocate to the area. This position may require travel.
• 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.
• Candidates authorized to work for any employer in Canada without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• Partner with our Data Scientists, Analysts, and business partners to deliver amazing AI solutions, including GenAI, via Databricks, AWS Cloud, and microservice architecture.
• Acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption.
• Consult with data consumers to identify meaningful datasets for analytical consumption.
• Develop data products using continuous deployment and integration practices.
• Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products.
• Participate in agile story authoring, sizing, and demo sessions for product features.
• Participate in code reviews and provide feedback to the team.
• 3-5 years of professional experience.
• At least 1 year of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using languages such as SQL, Python, or R.
• Experience using continuous integration and deployment concepts via Gitlab CI/CD.
• Experience navigating various types of database models and DBMS's to create data sets for analytics and model training and development.
• Experience using Databricks
• Experience with testing or data accuracy/quality designs.
• Strong SQL skills and background in ETL.
• Familiar with developing distributed data pipelines using Apache Spark.
• Understanding of analytics and data science applications.
• Familiar and aware of regulations around the use of PII data.
• Ability to explain their technical solutions to technical teams and non-technical teams.
• Excellent written and verbal communication skills.
• Exceptional analytical, conceptual, and problem-solving skills.
• Self-motivated and seeking to learn.
• Experience with Agile methodologies and DevOps environment.