Explore the critical requirements, core duties, primary responsibilities, and key skills that should be included in a comprehensive Big Data Engineer job description.
What does a Big Data Engineer do?
A Big Data Engineer is responsible for developing, testing, and maintaining Big Data solutions for a company. This means they collect large amounts of data from various sources and make sure it can be easily accessed by other team members. Their main goal is to ensure the company's data pipelines are secure, efficient, and can support multiple users.
Job Description
We are seeking a skilled Big Data Engineer to join our team and manage our company's Big Data solutions. Your role will involve designing and implementing Big Data tools and frameworks, setting up ELT processes, working with other development teams, creating cloud platforms, and maintaining our production system.
To be successful in this role, you should have a deep understanding of Hadoop technologies, strong project management abilities, and excellent problem-solving skills. A top-notch Big Data Engineer is able to identify the company's data needs and develop scalable solutions to meet current and future requirements.
Job Duties and Responsibilities
- Meet with managers to determine the company's Big Data needs
- Develop Hadoop systems
- Process and load different data sets using Hive or Pig
- Deliver Big Data solutions based on the scope of the project
- Manage communication between internal systems and survey vendors
- Collaborate with software research and development teams
- Create cloud platforms for company applications
- Maintain production systems
- Train staff on data resource management
Requirements and Qualifications
- Bachelor's degree in computer engineering or computer science
- Prior experience as a Big Data Engineer
- In-depth knowledge of Hadoop, Spark, and similar frameworks
- Familiarity with scripting languages such as Java, C++, Linux, Ruby, PHP, Python, and R
- Understanding of NoSQL and RDBMS databases like Redis and MongoDB
- Experience with Mesos, AWS, and Docker tools
- Strong project management skills
- Effective communication abilities
- Ability to solve complex networking, data, and software issues
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