We are seeking a motivated and self\-driven **Lead Data Engineer** with a strong technical background in data processing and manipulation. The ideal candidate will be responsible for working with data ingestion from various sources, transforming it into robust datasets, and managing it effectively — primarily in cloud storage environments. If you have expertise in Python\-based data processing, a keen interest in working with cutting\-edge tools like Databricks, and a passion for working with complex, large\-scale data, we want to hear from you! 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 reliable data pipelines for ingesting, transforming, and storing data from multiple sources * Manipulate complex datasets and preprocess large\-scale logs and time\-series data using state\-of\-the\-art tools and frameworks * Leverage your knowledge of Python (Pandas, NumPy, etc.) to perform exploratory data analysis (EDA) and prepare data for business and analytical use cases * Work collaboratively with cloud\-based tools and infrastructure, focusing on scalability and performance optimization * Utilize tools like Databricks, if experienced, or demonstrate a willingness to quickly ramp up on Databricks’ Lakehouse, Workflow, and ETL functionalities **Requirements** * Proven experience of over 5 years as a Data Engineer or in a similar role, demonstrating a self\-driven and problem\-solving mindset * At least 1 year of relevant leadership experience * Expertise in Python for data processing, analysis, and manipulation (e.g., Pandas, NumPy, and advanced libraries) * Proven experience working with large\-scale logs, time\-series data, and structured/unstructured data in diverse formats, preferably hardware/device data logs * Knowledge of Databricks, including workflows, ETL processes, and working with Lakehouse architecture, is highly desirable * Experience working with device data manipulation, such as medical data, IoT device data, hardware data, or similar * Excellent command of written and spoken English (B2\+ level) **Nice to have** * Exposure to PyTorch or TensorFlow for advanced data processing and AI/ML tasks * Understanding of or experience with AI/ML models, along with the ability to apply predefined machine learning models to datasets **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.*