Chief Data Engineer

EPAM Systems; Brasil; Teletrabalho; USD 80.000 - 120.000; Tempo integral

Resumo da oferta

An innovative company is seeking a Chief Data Engineer to lead a remote team in delivering cutting-edge data solutions. This role involves designing scalable data architectures, managing technical teams, and mentoring engineers. The ideal candidate will have over 7 years of experience, strong coding skills in Python, and expertise in AWS and Databricks. Join a diverse team working on international projects with top brands, offering healthcare benefits, upskilling opportunities, and a culture recognized for excellence. If you are passionate about data and technology, this is the perfect opportunity for you.

Serviços

Healthcare benefits

Employee financial programs

Paid time off

Upskilling and certification courses

Unlimited access to LinkedIn Learning

Global career opportunities

Volunteer and community involvement

EPAM Employee Groups

Award-winning culture

Qualificações

• Over 7 years of experience as a Data Engineer with leadership capabilities.
• Proven expertise in coding and solving complex technical challenges.

Responsabilidades

• Lead the design and implementation of scalable data architectures.
• Build and maintain data pipelines ensuring data quality and accessibility.

Conhecimentos

Python

AWS

Databricks

Data Architecture

Leadership

Data Processing

System Design

Formação académica

Degree in Engineering

Degree in Computer Science

Descrição da oferta de emprego

We are seeking an experienced Chief Data Engineer to join our remote team and lead the delivery of innovative, scalable data solutions.

In this role, you will manage technical teams, design system architectures, and contribute to impactful projects that address complex data challenges. The ideal candidate will possess a strong technical foundation, leadership capabilities, and a passion for mentoring and fostering innovation.

Responsibilities

• Lead the design and implementation of scalable and efficient data architectures
• Build and maintain data pipelines and workflows to ensure data quality and accessibility
• Collaborate with stakeholders to define requirements and enable data-driven solutions
• Provide technical guidance and mentorship to engineering teams
• Optimize system performance to enhance scalability and reliability
• Establish technical best practices and drive high-quality code delivery
• Conduct code reviews and actively contribute to technical discussions
• Support pre-sales efforts, client engagements, and special SWAT team activities
• Promote knowledge sharing within teams and participate in meetups and technical talks
• Stay updated on emerging technologies and integrate them into strategic solutions

Requirements

• Degree in Engineering, Computer Science, or a related field
• Over 7 years of experience as a Data Engineer
• At least 2 years of leadership experience, including team management and project direction
• Background in at least 2 full-cycle projects or multiple phases of development lifecycles
• Proven hands-on expertise in coding and solving complex technical challenges
• Proficiency in Python for data processing, analysis, and automation
• Knowledge of Amazon Web Services (AWS) for cloud-based data solutions
• Expertise in Databricks for big data analytics and machine learning workflows
• Competency in system design and architecture, balancing high-level vision with detailed implementation
• Demonstrated impact in technical contributions within projects and across organizations
• Broad cross-disciplinary background in multiple technical domains and stacks
• Mindset for mentoring and sharing expertise within teams and the larger community
• Capability to innovate by utilizing new tools, frameworks, or methodologies
• Flexibility to adapt to diverse programming languages, technical stacks, and domains as needed
• Fluent communication skills in English at a B2 level or higher

Nice to have

• Background in real-time data processing and streaming technologies
• Knowledge of advanced machine learning and AI frameworks
• Familiarity with serverless computing solutions for data workflows

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Business Development

Industries

• Software Development, IT Services and IT Consulting, and Technology, Information and Internet