




We are looking for a **Chief Data Engineer** to lead innovative microservices and back\-end data software engineering initiatives focused on scalable and efficient data pipelines. You will oversee the architecture, development, and enhancement of data services, collaborating with architects and engineers to deliver high\-quality solutions. Join us to spearhead cutting\-edge projects and mentor a high\-performing technical team. 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 data pipelines and back\-end microservices within a microservices framework * Guarantee data integrity, system reliability, and seamless integration * Partner with architects and engineers to create scalable and resilient solutions * Establish and enforce data and API governance practices * Diagnose and improve data pipelines, APIs, and microservices performance * Coach and develop engineers to build a cooperative and innovative team environment * Lead advancements in microservices and back\-end architecture * Manage deployment workflows using CI/CD pipelines and cloud services * Oversee initiatives to sustain optimal system scalability and performance * Assess new data technologies to upgrade infrastructure capabilities **Requirements** * Extensive background in microservices, data engineering, and back\-end development using Java, Scala, Python, or Node.js with over 7 years of experience * Strong leadership qualities with proven experience mentoring engineering teams * Demonstrated expertise with Apache Spark, Databricks, Kafka, Cosmos DB, Redis, and SQL/Spark SQL * Proficient in CI/CD tools including Git, Jenkins, ArgoCD and container orchestration via Docker and Kubernetes * Comprehensive knowledge of cloud platforms such as AWS, Azure, or GCP * Skilled in designing RESTful APIs using Swagger, JSON, and YAML * Advanced troubleshooting and optimization capabilities for data pipelines and microservices * Effective communication skills for cross\-team collaboration * Upper\-Intermediate English proficiency (B2\) for interaction with international clients and teams **Nice to have** * Experience applying AI and machine learning strategies * Familiarity with the Rust programming language * Awareness of current and emerging data technology trends **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.*


