1 week ago Be among the first 25 applicants EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Join our dynamic team as a Lead Data Engineer , where you will contribute both independently and collaboratively to deliver top-tier data integration solutions. Your knowledge of investment financial data and expertise in agile methodologies will be key as you work with cross-functional teams to enhance our trading platform and reporting functionalities. If you are results-driven and ready to make a meaningful impact, we encourage you to apply. Responsibilities Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to define and analyze user stories tracked in Jira Define, design, and implement software solutions using a modern technology stack Showcase solutions and explain business value to stakeholders during sprint showcases Work in configuration activities to support data integration initiatives Maintain a balance between independent work and team collaboration as needed Apply agile methodologies to deliver quality products iteratively Drive improvements in data engineering processes and practices Requirements Bachelor’s degree in a technical discipline or equivalent industry experience At least 5 years of experience as a professional Data Engineer More than 1 year of relevant leadership experience Expertise in SQL, including creating views, stored procedures, and functions Background in data modeling with a focus on best practices Proficiency in Snowflake for data warehousing and analysis Understanding of data warehouse principles and architecture Familiarity with AWS and its data-related services Experience in Python, particularly for ETL tasks using Pandas and NumPy Capability to implement and maintain CI/CD pipelines with tools like Bitbucket/GitHub and Bamboo Fluency in English Nice to have Background in financial systems and reporting, focusing on investments accounting or general ledger Knowledge of integrating large-scale ERP or financial investment systems Competency in delivering data solutions using AWS tools such as S3, Glue, Athena, and Lambda through agile methodologies Familiarity with business intelligence tools and reporting platforms Skills in agile practices, including story estimation and sprint planning We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Engineering, and Business Development Industries Software Development, IT Services and IT Consulting, and Insurance Referrals increase your chances of interviewing at EPAM Systems by 2x Sign in to set job alerts for “Data Engineer” roles. Bogota, D.C., Capital District, Colombia 5 days ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 3 weeks ago Bogota, D.C., Capital District, Colombia 4 days ago Data Visualization Engineer - PowerBI Senior Bogota, D.C., Capital District, Colombia 2 months ago Bogota, D.C., Capital District, Colombia 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr