Lead Software Engineer (Big Data)

Singapore 2 days agoFull-time External
Negotiable
About EPAM EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers. You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here. Why EPAM? • By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023. • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters. • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices. • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey. • At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us. What You’ll Do • Design, develop and maintain datasets and end-to-end data pipelines, ensuring high data quality, reliability and performance • Collaborate with stakeholders and program management to co-create the enterprise data strategy and common data model • Implement and operate modern data platforms, transformative data processes and reusable data services • Build, test and optimize data pipelines and structures that support data scientists and analytics teams, including machine learning workloads • Model and govern JSON-based schemas and metadata using centralized tools to ensure consistency and reuse • Troubleshoot, resolve and proactively prevent data-related issues across the data lifecycle • Support enterprise reporting, advanced analytics and data science use cases • Contribute to Agile delivery and continuous improvement initiatives What Will Make You Shine • Strong background in building or designing large-scale, fault-tolerant distributed systems • Strong hands-on experience with Big Data and open-source technologies such as S3, Hive, Spark, Trino, Kafka, Kubernetes and MinIO • Proven experience in heterogeneous business and technology environments with strong stakeholder management skills • Experience in large-scale data migration projects, especially involving on-premise data lakes • Hands-on experience integrating data science workbench platforms such as KNIME, Cloudera or Dataiku • Solid track record working in Agile environments using frameworks such as Scrum or SAFe • No visa sponsorship available Nice to Have • Experience in banking or financial services, including handling sensitive and regulated data across regions How We Hire Here, we summarize the typical journey to finding a job within EPAM: • Apply and tell us about yourself • Go through some standard interviews: • General interview with a recruiter • Technical interview with our technology experts • Manager interview or Offer interview with a hiring manager • Get ready to join the team Not sure if you meet all the requirements? No problem. Let’s talk anyway and find out more. It takes 1 min of application to start the journey with us. Apply now!