We are seeking a seasoned and highly driven **Chief Data Engineer** with extensive experience in data processing and advanced data management. The ideal candidate will lead efforts in integrating data from multiple sources, ensuring its transformation into reliable, insightful datasets, and overseeing effective management across advanced cloud storage environments. If you possess advanced expertise in Python\-based data workflows, have operated extensively with cutting\-edge tools like Databricks, and excel in addressing the complexities of large\-scale datasets, we would like to connect with you! **Responsibilities** * Drive the design and governance of enterprise\-level data pipelines for scalable ingestion, transformation, and storage across multiple ecosystems * Provide strategic oversight and practical expertise in handling complex datasets, ensuring the preparation of highly optimized, scalable systems for analytical applications * Guide and own the use of Python and advanced data processing frameworks (e.g., Pandas, NumPy) for mission\-critical exploratory data analysis (EDA) * Oversee the adoption and operational alignment of advanced cloud tools and infrastructure, standardizing scalability and ensuring ongoing performance excellence * Demonstrate expertise in Databricks, including full lifecycle oversight of Lakehouse architecture, workflows, and ETL optimization **Requirements** * 7\+ years in data engineering roles, demonstrating a high level of self\-direction and strategic ownership * Minimum of 2 years in leadership or managerial roles driving teams and data strategy at scale * Participation in at least two full\-cycle projects or multiple projects spanning various development phases * Advanced proficiency in Python for complex data workflows and modeling using tools like Pandas, NumPy, and domain\-specific libraries * Extensive experience handling and strategizing for large\-scale structured/unstructured datasets, particularly device, medical, IoT, or hardware\-generated logs * Comprehensive knowledge and practical experience with Databricks workflows, Lakehouse architecture, and ETL process optimization * In\-depth expertise working closely with device\-derived data such as IoT logs, hardware diagnostics, or medical device outputs * Exceptional communication and leadership capabilities coupled with fluency in English at a C1 level or higher **Nice to have** * Industry\-recognized experience with PyTorch, TensorFlow, or equivalent advanced AI/ML processing systems * Ability to define and integrate AI/ML strategies while effectively utilizing pre\-built models for real\-world applications **We offer** * Improved medical coverage \- EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation * Lunch Allowance \- You will receive a daily allowance of CLP $ 7,000 per working day. Enjoy a nice meal on us * Allowance for internet and electricity \- You will receive an allowance of CLP $15,000 per month to cover internet and electricity expense * National Holiday Bonus \- We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September * Christmas Bonus \- You will receive an End of Year bonus of CLP $170,539\. It will be paid during the month of December, to ensure you have a Happy Holiday! * Learning Culture \- We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally * Additional Income \- Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways * Are you open to relocation? \- If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home