Инженер данных at Hemera

• Proficiency in building and maintaining big data warehouses and platforms.
• Skills in data extraction, integration, and analysis to support business operations.
• Experience in developing both B-end and C-end product features through coding and testing.
• Able to deliver high-quality code, manage project timelines, and maintain technical documentation.

Hemera, likely operating in the data analytics sector with a focus on innovative solutions, is recruiting a Data Engineer to strengthen their data infrastructure and product development capabilities. Their intent is to find a candidate who can not only handle complex big data tasks but also contribute to scalable, efficient systems that drive business growth. This suggests a need for technical innovation, adaptability to evolving data technologies, and strong collaboration with cross-functional teams, indicating Hemera values both depth in data engineering and the ability to integrate data into real-world applications.

As an interviewer at Hemera, I would prioritize candidates who demonstrate strong technical skills in big data development, particularly in designing and optimizing data pipelines. I look for evidence of problem-solving abilities, attention to detail in code delivery, and effective communication when balancing multiple priorities. Key areas to assess include hands-on experience with tools like Hadoop or Spark, troubleshooting in production environments, and the ability to collaborate across teams to meet project deadlines.