— At least 2 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
— Good knowledge of Scala or Java with a willingness to switch to Scala
— Familiarity at least on a cloud provider, and Docker tools
— Ability to solve complex networking, data, and software issues
— Good project management skills
— Good communication skills
— Team Player
— Eager to learn
— 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
— Analyzes and implements a complex feature autonomously
— Builds software solutions by adhering to our quality standards about SDLC
— Participates in the technical design of features with guidance
— Understands and optimizes system performances
— Prioritizes tasks with autonomy based on requirements and proper context
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.