Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.

At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Role

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.

Responsibilities

• Implement data transformations and analytics using Python and PySpark.
• Design, develop, and optimize scalable data pipelines and ETL processes using Azure Data Services and Databricks.
• Configure and manage Databricks Unity Catalog for secure data governance and access control.
• Orchestrate workflows using Apache Airflow for scheduling and automation.
• Collaborate with cross-functional teams to deliver high-quality data solutions in an Agile environment.
• Set up and maintain CI/CD pipelines for data workflows and deployments.
• Manage version control and branching strategies using Git.
• Write and execute unit tests to ensure code quality and reliability.
• Monitor, troubleshoot, and optimize data processes for performance and cost efficiency.

• Programming: Proficiency in Python and PySpark for data engineering tasks.
• Python - good understanding of basics (like OOP, functions, imports, exceptions, file handling). Pandas library knowledge
• Azure Knowledge: Strong experience with Azure Data Factory, Azure Data Lake, Azure Synapse, or related services.
• Databricks: Hands-on experience in building and managing workflows in Databricks, including Unity Catalog.
• Orchestration: Experience with Apache Airflow for workflow scheduling and automation.
• CI/CD: Familiarity with tools like Azure DevOps or Jenkins for automated deployments.
• Version Control: Expertise in Git for code management.
• Testing: Strong understanding of unit testing frameworks for data pipelines.
• Agile Methodology: Experience working in Agile teams and using tools like Jira or Azure Boards.

• Tools/Frameworks
• Java, Spark, Hive, Hadoop, Bash
• Job scheduler (Ctrl-M)

• High analytical skills
• A high degree of initiative and flexibility
• High customer orientation
• High quality awareness
• Excellent verbal and written communication skills