Title: Senior Python Engineer for Data Retraining Location: Boston United States Job Description: Are you prepared to take your Python engineering expertise to the next level and transition into the dynamic world of Big Data? EPAM provides a unique chance to secure a role after passing a single technical interview, while acquiring Big Data skills without changing your title or compensation. This focused 8-week program is tailored for Python engineers making the shift to Big Data Engineering. The curriculum encompasses three distinct phases: theoretical coursework delivered by industry professionals, practical tasks or hands-on projects, and a well-rounded knowledge assessment accompanied by feedback. Key topics include data management, distributed systems, Spark, Kafka, NoSQL databases, and cloud-native services, ensuring a solid grounding in modern data platforms. The training is fully remote, enabling participants to learn from the comfort of their own space. What will you do in this role? Skills - 4+ years of production experience in IT - Proficiency in Python, SQL, and cloud platforms (AWS, GCP, Azure) - Background in tools such as Databricks, Spark, Docker, Kubernetes is a plus - Familiarity with AI, LLM - English proficiency at B2+ or higher What we offer With us you can: - Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine - Receive the necessary equipment to perform your work tasks - Change projects and technology stacks within EPAM - Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more) - Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations - Participate in volunteer, charity programs and communities (both technical and interest-based) We focus on your professional growth: - You can plan your individual career path together with your manager - Receive regular feedback from colleagues - Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.) - Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds - Use the internal E-learn training program (18,200+ specialized training and mentoring programs) - Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources - Study at EPAM Solution Architecture School with the instructors who are practicing architects - Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more - Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually) What we offer: - Vacation and sick leave (including a sick leave without a medical certificate) - A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities) - Medical insurance for family members at corporate rates - Company support during significant life events (childbirth or adoption, marriage, etc.) - Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training - E-kids program - a free programming language training program for EPAMers' children Kindly be advised that the set of benefits, including learning, certification, and other opportunities, may vary depending on the role you apply for. Our recruiter will be able to share more details about the specific opportunity during your general interview. ABOUT EPAM EPAM strives to provide its global team of over 62,350 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.

• Own and maintain the pricing SQL Server database — tables, views, stored procedures, data integrity, and performance • Write, optimize, and troubleshoot SQL queries daily • Manage the end-to-end data flow: source system (JDE) → pricing database → PriceFx • Ensure data moves correctly, transformations are accurate, and outputs are validated • Monitor and respond to production incidents independently • Own the data validation and quality assurance process • Lead the data requirements for the PriceFx implementation • Document and reverse-engineer the existing transformation logic in the pricing database • Manage the eventual retirement of the legacy pricing database • Serve as the data expert for the Pricing team • Partner with the Pricing Director and stakeholders to ensure data infrastructure supports pricing operations

• work as part of the Managed Data Service team, working with our customers to support their data-ops and data projects • be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations • help to build, maintain and troubleshoot data observability solutions to improve data quality • help turn data into valuable business insights, preparing custom solutions optimised for each client

• Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources • Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms • Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms • Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility • Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs • Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows • Leverage Git-based repositories and version control best practices to manage engineering efforts • Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives • Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer • Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments.