We are seeking a collaborative and self\-starting **Senior Data Engineer** to join our team and play a pivotal role in a critical, high\-visibility initiative: optimizing our new shop selection and opening process. You will be a core member of a cross\-functional project team, working alongside representatives from Real Estate, Legal, and our Site Selection team. Your primary mission will be to solve challenges related to fragmented data sources, build robust data pipelines, and create a centralized, trustworthy data lake that supports advanced analytics and AI/ML models across the enterprise. 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. **Responsibilities** * Design, build, and maintain scalable and reliable data pipelines using our modern data stack (AWS, Snowflake, DBT) * Develop and manage a master data source for Real Estate in the company’s data lake, serving as the system of record * Oversee the complete data lifecycle, including ingestion, normalization, and stewardship of key Real Estate and Legal contract data * Work closely with data scientists to deliver clean, reliable features for machine learning models, enhancing new store forecast accuracy * Operationalize data ingestion from various source systems, including Procore, LawVu, and Lucernix, to automate the new shop pipeline * Collaborate with stakeholders to map critical processes and identify high\-impact automation opportunities * Help transition the team from manual, labor\-intensive analysis to scalable, automated model generation and trustworthy data pipelines **Requirements** * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field * Minimum 3 years of relevant experience * Integration experience with low code IPAAS platforms such as Workato * Proven track record as a Data Engineer in a cloud\-based environment, preferably AWS * Hands\-on experience with a modern data stack, including cloud data warehouses like Snowflake, data transformation tools such as DBT, and integration platforms like Workato or similar * Strong proficiency in SQL and experience building and maintaining robust data pipelines * Demonstrated ability to work with fragmented data from multiple systems to create a single, trusted source of truth * Excellent communication skills and experience collaborating in cross\-functional teams * Self\-starter mentality with the ability to drive projects forward and solve complex problems in a dynamic environment * Fluent English skills (written and spoken) at a C1\+ level or higher **Nice to have** * Experience supporting MLOps or Data Science teams, especially with feature engineering and scoring * Familiarity with data related to Real Estate, legal contracts, or multi\-site retail operations * Python for Data Integration * Experience with Workato **We offer** * Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*