Data Engineer

Job Description 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. Your role We are looking for skilled Data Engineers with experience in building modern, scalable data platforms and analytics solutions across cloud and big data ecosystems. The ideal candidate will have strong expertise in AWS, data lake architecture, ETL/ELT development, and real-time data processing, with prior exposure to the Telecom B2B domain. Required Key Responsibilities Design, develop, and maintain scalable data pipelines and enterprise data platforms. Build and optimize Data Warehouses, Data Lakes, and Lakehouse architecture. Develop batch and real-time data processing solutions to support analytics and reporting. Implement ETL/ELT workflows for large-scale data integration. Collaborate with business, analytics, and engineering teams to deliver data-driven solutions. Ensure data quality, governance, performance optimization, and platform reliability. Troubleshoot production issues and continuously improve platform efficiency and scalability. Required Technical Skills Cloud & Data Platforms Strong experience with AWS services including: AWS Glue Amazon Redshift Amazon S3 Amazon EKS Knowledge of cloud-native architecture and distributed data platforms. Experience with Hadoop ecosystem, Data Lakes, and Lakehouse solutions. Data Engineering & Analytics Hands-on expertise in: Apache Spark Trino Apache Superset Apache Airflow Experience building and optimizing large-scale ETL/ELT pipelines. Programming & Development Strong proficiency in: Python PySpark Scala SQL DBT Shell Scripting Streaming & Performance Experience with Kafka-based streaming and real-time analytics. Strong skills in troubleshooting, performance tuning, monitoring, and data governance. Domain Experience Experience in the Telecom B2B domain is preferred. Understanding of telecom data ecosystems, customer analytics, operational reporting, network performance, and revenue insights will be an advantage. Preferred Qualifications Experience working in Agile delivery environments. Exposure to DevOps, CI/CD, and infrastructure automation practices. AWS or relevant cloud certifications are desirable Personal Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work independently and in cross-functional teams. Ownership mindset with a focus on quality, scalability, and business outcomes. About Infosys Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of 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. Visit www.infosys.com to see how Infosys can help your enterprise navigate your next. All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer