Data Engineer

We are seeking a Mid-level Data Engineer to join our dynamic Data Engineering team. As a Data Engineer, you will design, develop, and maintain data pipelines for our data collection, annotation, and quality evaluation projects, ensuring efficient data import and export processes.

Requirements

• Bachelor’s degree in computer science, Data Engineering, or a related field
• 4 years of hands-on experience in data pipeline design, data transformation, pipeline orchestration, and data integration
• Proficiency in programming languages such as Python, SQL, or Scala
• Experience with AirFlow, N8N is a plus
• Experience with Ruby is a big plus
• Knowledge and experience with machine learning projects is a big plus
• Solid knowledge of data storage and database management systems, including relational and NoSQL databases
• Familiarity with data visualization tools and techniques to facilitate data understanding and analysis
• Experience with AWS QuickSight and AWS Athena is a plus
• Solid understanding of data quality and data governance principles
• Familiarity with Data Lake concepts and with Apache Iceberg
• Experience with cloud-based data platforms, such as AWS, GCP, or Azure, is a plus
• Strong problem-solving skills with a keen eye for detail
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment