We are seeking an accomplished **Senior Software Engineer** with expertise in data engineering to join our team. You will be instrumental in crafting scalable systems and data pipelines that process and analyze complex datasets, enabling advanced insights and innovative data\-driven applications. 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 implement efficient backend services and pipelines for ingesting, transforming, and processing large\-scale data from multiple sources * Collaborate with Product Managers and Engineers to develop ML/AI\-powered systems that generate actionable insights and automate workflows * Build APIs and internal tools to support analytics, reporting, and real\-time data visualizations * Define and maintain data models, governance policies, and quality standards to uphold data integrity and accessibility across teams * Optimize data pipelines through strategies like indexing, caching, and asynchronous processing * Drive architectural decisions around event\-driven systems, distributed processing, and scalable job orchestration * Improve CI/CD workflows, observability, and automation for high availability and reliability of data infrastructure * Participate in technical discussions, code reviews, and retrospective sessions to ensure continuous improvement and innovation **Requirements** * 3\+ years of experience with Python, Golang, or PHP in backend development * 3\+ years of experience designing and building backend platforms and services * 2\+ years working with data engineering tools like Airflow, dbt, Spark, or Kafka * Knowledge of relational databases (e.g., MySQL) with experience in data modeling, schema design, and performance tuning * Background in implementing ML/AI\-powered solutions for large\-scale data processing * Expertise in using distributed systems, message queues, or stream processing frameworks * Competency in developing APIs or services for advanced analytics and reporting * Proficiency in caching tools like Redis or Memcached and containerization technologies such as Docker * Familiarity with Linux systems and DevOps practices * Understanding of observability tools like New Relic or Datadog **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.*