A NASDAQ-listed company, renowned for its innovative approach and commitment to technological advancement, is seeking a Data Engineer. This company is a trailblazer in its field, consistently pushing the boundaries of what is possible and setting new industry standards. The Data Engineer will play a pivotal role in the development and maintenance of data architecture, working with cutting-edge technologies such as Apache Kafka, Java, and React.
The Data Engineer will be responsible for designing, building, and managing the information infrastructure. They will also be tasked with developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. The company fosters a culture of innovation, collaboration, and continuous learning, making it an ideal environment for individuals who are passionate about data engineering and eager to grow their skills.
Job Responsibilities:
- Design, construct, install, test, and maintain highly scalable data management systems
- Develop and implement data standards, ensuring data quality and accessibility for future use
- Collaborate with data scientists and architects on several projects
- Develop set processes for data mining, data modeling, and data production
- Translate complex functional and technical requirements into detailed architecture and design
- Ensure systems meet business requirements and industry practices
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
- A minimum of 3-5 years of experience in a Data Engineering role
- At least 2+ years of experience with Apache Kafka, 5+ years of experience with Java, and 5+ years of experience with React
- Proven ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management
- Strong understanding of algorithms and data structures
- Must be fluent in English and possess strong communication skills