Software Engineer(Data Engineer)

About Business Unit: The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon’s success story. Why are we looking for you? At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for dedicated individuals who always set the standard by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. So, are you someone who wants to work with pioneering technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, and experienced team that’s not afraid to push boundaries or take risks. What will you enjoy in this role? As a Software Engineer in the CDP team, you will drive design, delivery, technical strategy, and execution for critically important data systems. You will define engineering standards, influence long-term platform direction, mentor junior engineers, and ensure the CDP and Foundations platform scales securely and reliably to support sustained business growth. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Deliver large-scale cloud-native data platforms primarily on AWS leveraging REST APIs, micro services and event driven applications to build highly scalable and resilient systems. Work hands-on across the technology stack - including Java, Python, Spark, TypeScript, JavaScript, Angular, AWS services, event-driven architectures, and SQL/NoSQL databases - to solve complex engineering challenges and maintain platform excellence. Drive performance optimization, scalability, reliability, security, governance, and cost efficiency. Collaborate and develop closely with global engineering, product management, architecture, and business stakeholders to align technical solutions with strategic business objectives. Own the end-to-end software development lifecycle, including requirements gathering, solution design, development, deployment, observability, and documentation. Qualifications B.E./B.Tech/M.Tech/MCA in Computer Science, Information Technology, or a related fi eld.3-5 years of strong software engineering experience, with deep expertise in building scalable UX driven applications and distributed systems architect ure.Proven experience designing and building scalable REST APIs, microservices, Kubernetes, and distributed syst ems.Experience in Data Warehousing, Data Lakes, Delta Lake architecture, and modern big data ecosystem desi gns.Strong hands-on expertise in Python, Java, Angular and well-versed with Object oriented design patterns and Functional programm ing.Experience in PySpark, and Apache Spark, with proven experience building high-performance distributed data processing soluti ons.Depth in Micro-services development with Kubernetes containerization for eventing and serv ing.Experience with AWS services such as S3, Lambda, API Gateway, and EventBridge for building scalable, reliable, cloud-native data platfo rms.Strong experience with messaging and event-driven technologies such as Kafka, SNS, and SQS, along with solid expertise in relational and NoSQL databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Re dis.Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform and Ansi ble.Understanding of CI/CD and DevOps practices using tools such as Jenkins, GitHub/GitLab, Bitbucket, GoCD, and automated deployment pipeli nes.Experience implementing robust testing strategies, including unit, integration, and regression testing, while adhering to engineering best practi ces.Strong critical thinking and analytical skills, with the ability to diagnose, troubleshoot, and solve complex technical problems effectiv ely.Exposure and Awareness about Generative AI technologies, including LLMs, RAG architectures, and Agentic AI syste ms. Nice to ha ve: Working knowledge of PySpark with Databri cks.Experience working with Azure and/or Google Cloud Platform (G CP).Experience building data platforms in privacy-safe or Customer Data Platforms and Marketing Technology environments.