We are seeking an experienced **Lead Data Engineer** to join our team and take ownership of designing and managing data pipelines that link our data warehouse with marketing and customer engagement platforms. This role focuses on building efficient and scalable integrations that enable customer segmentation, campaign execution, and feedback loops from engagement data. If you are passionate about data engineering and want to work on solutions that power high\-volume e\-commerce operations, we encourage you to apply. 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 and maintain ETL/ELT pipelines using Python and SQL to facilitate data movement between the data warehouse and external systems * Automate workflows to ensure data accuracy, scalability, and timely delivery * Build bi\-directional data flows to integrate customer and campaign data with engagement platforms, while capturing performance data back into internal systems * Collaborate with marketing, analytics, and CRM teams to transform business requirements into technical implementations * Monitor, troubleshoot, and optimize data pipelines to maintain reliability and data quality * Quickly onboard and operationalize the technology stack, documenting processes, workflows, and schemas to ensure maintainability * Ensure adherence to data governance, security, and privacy standards across all data operations * Work closely with technical and non\-technical stakeholders to align goals and ensure successful delivery of solutions **Requirements** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline * At least 5 years of professional experience in data integration with a proven track record in building and maintaining data pipelines * Minimum of one year of experience leading and managing development teams * Advanced expertise in Python for data scripting, automation, and API integration * Strong proficiency in SQL and experience with modern data warehouses such as Redshift, Snowflake, or BigQuery * Practical experience in integrating internal systems with third\-party platforms * Familiarity with APIs and tools for data pipeline orchestration, such as Airflow, dbt, or AWS Glue * Strong problem\-solving abilities and the capability to collaborate effectively across technical and non\-technical teams * Hands\-on experience with cloud platforms like AWS, including their storage, compute, and data services * Fluent English communication skills (B2\+ level or higher), with experience in client\-facing roles to gather requirements and provide updates **Nice to have** * Experience working with e\-commerce platforms or transactional systems, particularly in managing large\-scale data operations * Familiarity with the unique challenges of e\-commerce data integration, including handling large datasets and optimizing performance **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.*