Infosys is seeking a Data Engineer with experience in Python, PySpark. In the role of Technology Lead, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design. You will play an important role in creating the high level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. 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:

• 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 4 years of Information Technology experience.
• Candidate must be located within commuting distance of Boston, MA or be willing to relocate to the area. This position may require travel to project locations.
• 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.
• Develop, enhance, and maintain Python-based ETL/ELT pipelines for large-scale data processing.
• Design and implement data workflows using Databricks (PySpark, Delta Lake).
• Build, optimize, and manage Snowflake objects (schemas, tables, stages, pipes, views).
• Write efficient SQL and Snowflake Scripting for transformations, automation, and orchestration.

• At least 6 years of hands-on experience in Python, PySpark, Snowflake
• Integrate data from diverse sources (APIs, databases, cloud storage, streaming sources).
• Optimize performance of data pipelines, including workload management and cost tuning.
• Implement CI/CD practices for data engineering using Git, DevOps pipelines, or similar tools.
• Collaborate with Data Architects, Analysts, and Product Teams to deliver reliable data solutions.
• Ensure data quality, data governance, and security best practices across all workflows.
• Monitor, troubleshoot, and resolve issues in production data pipelines.
• At least 6 years of experience in software development life cycle.
• At least 6 years of experience in Project life cycle activities on development and maintenance projects.
• Ability to work in team in diverse/ multiple stakeholder environment.
• Good Analytical skills.
• A high degree of initiative and flexibility. High customer orientation.
• Excellent verbal and written communication skills
• Experience and desire to work in a Global delivery environment

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing 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 unprecedented 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 provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.