We are looking for a skilled Chief Data Engineer to join our remote team and play a pivotal role in creating cutting-edge and scalable data solutions. This position involves leading technical teams, shaping system architecture, and delivering impactful results for complex data-related challenges. The ideal candidate will bring a strong technical foundation, proven leadership experience, and a passion for innovation and team development.

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.

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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

Connectivity Bonus (15,000 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