About the client

Agile Lab is a top tier data engineering firm, specialized in Spark and many other distributed technologies since 2013. Agile Lab is now employing 60 talented data engineers/scientists in a remote-first culture and with an international mindset.

We are looking to hire a talented Big Data Engineer to develop and manage our Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, data-intensive applications, and cloud platforms.

To ensure success as a Big Data Engineer, you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.

Responsibilities

• Analyzes, designs, and implements complex systems
• Challenges the team processes, looking for ways to improve
• Mentors junior engineers via pairing, design, and code review
• Builds software solutions by adhering to our quality standards about SDLC
• Makes active efforts to stay up-to-date with technologies
• Leads the technical design of complex systems
• Understands and optimizes system performances
• Takes the initiative to fix issues before they become a problem
• Delivers complex systems, well-baked, and almost bug-free
• Proactively identifies problems with requirements and project plan

Requirements

• 3-5 years of experience as a Big Data Engineer
• Bachelor’s degree in Computer Engineering or Computer Science
• In-depth knowledge of Hadoop, Spark, and similar frameworks
• Strong knowledge of Scala or Java with a willingness to switch to Scala
• Expert in cloud-native technologies, IaC, and Docker tools
• Ability to solve complex networking, data, and software issues
• Business and functional understanding
• Excellent project management skills
• Excellent communication skills
• Proactivity
• Team Player
• Leadership capabilities

Daxx offers

• Direct cooperation with the customer
• Dedicated HR/ Client Manager
• Regular performance reviews
• Competitive salary, medical insurance, 20 working vacation days
• Regular corporate events, team buildings, etc.
• Remote work opportunity