We are looking for a **Senior Data Engineer** to join our team and take the lead in designing and managing data pipelines that connect our data warehouse with marketing and customer engagement platforms. This role involves building reliable and scalable integrations to support customer segmentation, campaign execution, and feedback loops from engagement data. If you are passionate about data integration and enjoy working on impactful solutions that drive 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** * Develop and maintain ETL/ELT pipelines using Python and SQL to transfer data between the data warehouse and external platforms * Automate data workflows to ensure accuracy, scalability, and timely delivery of data * Implement bi\-directional data flows to integrate customer and campaign data with engagement platforms and capture performance data back into internal systems * Work closely with marketing, analytics, and CRM teams to translate business requirements into technical solutions * Monitor and troubleshoot data pipelines to ensure data quality and reliability * Quickly understand and operationalize the full technology stack, documenting processes, workflows, and schemas for maintainability * Ensure compliance with data governance, security, and privacy standards in all data workflows * Communicate effectively with both technical and non\-technical stakeholders to align on requirements and deliverables **Requirements** * Bachelor’s or Master’s degree in Computer Science or a related field * At least 3 years of experience in data integration, with a proven ability to build and maintain data pipelines * Expert\-level proficiency in Python for data scripting, automation, and API integrations * Strong SQL skills and experience working with modern data warehouses like Redshift, Snowflake, or BigQuery * Hands\-on experience integrating data between internal systems and third\-party platforms * Familiarity with APIs, data pipelines, and workflow orchestration tools such as Airflow, dbt, or AWS Glue * Strong problem\-solving skills and the ability to collaborate effectively with both technical and non\-technical stakeholders * Experience with cloud computing platforms such as AWS and their services, including storage, compute, and data tools * Excellent English communication skills (B2\+ level or higher) with experience in client\-facing interactions to gather requirements and provide updates **Nice to have** * Experience working with high\-volume e\-commerce platforms or transactional systems to manage large\-scale data operations * Familiarity with the specific challenges and requirements of data integration in e\-commerce environments, such as 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.*