Chief Data Engineer

**Responsibilities**- Architect and implement robust and scalable data systems- Build and manage data pipelines to ensure high-quality and accessible data- Work closely with stakeholders to identify requirements and deliver tailored solutions- Offer technical leadership and mentoring to engineering teams- Enhance system reliability, scalability, and performance- Promote best practices and ensure the delivery of well-structured, maintainable code- Review code and actively participate in technical discussions- Engage in pre-sales activities, client collaborations, and rapid-response initiatives- Encourage knowledge sharing through meetups and technical presentations- Stay updated on advancements in technology and introduce innovative tools and approaches**Requirements**:- Degree in Engineering, Computer Science, or a related discipline- Seven or more years of experience as a Data Engineer- At least two years of experience in leading teams and managing technical projects- Involvement in a minimum of two complete project lifecycles or multiple development phases- Extensive hands-on experience in coding and addressing complex technical challenges- Expertise in Python for automation, data analysis, and processing- Comprehensive knowledge of AWS services for cloud-based data solutions- Proven experience with Databricks for advanced analytics and machine learning workflows- Strong ability in system design and architecture, balancing strategic vision with practical implementation- A history of delivering measurable technical impact across projects and teams- Broad understanding of various technical domains and stacks- Commitment to mentoring team members and sharing knowledge across the organization- Ability to innovate and implement new tools, frameworks, and solutions- Flexibility to work across different programming languages, stacks, and areas of expertise- Proficiency in English at a B2 level or higher for effective communication**Nice to have**- Hands-on experience with technologies for real-time data processing and streaming- Understanding of advanced AI and machine learning tools and frameworks- Knowledge of serverless computing solutions for efficient data workflows**We offer**- Career plan and real growth opportunities- Unlimited access to LinkedIn learning solutions- International Mobility Plan within 25 countries- Constant training, mentoring, online corporate courses, eLearning and more- English classes with a certified teacher- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)- Flexible work schedule and dress code- Collaborate in a multicultural environment and share best practices from around the globe- Hired directly by EPAM & 100% under payroll- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)- 13 % employee savings fund, capped to the law limit- Grocery coupons- 30 days December bonus- Employee Stock Purchase Plan- 12 vacations days plus 4 floating days- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)- Monthly non-taxable amount for the electricity and internet billsEPAM 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.