Data Engineer

Responsibilities

• Design and implement innovative data platforms using open standards to enable advanced analytics and machine learning capabilities.
• Develop and maintain technical documentation related to the platform architecture, components, interfaces, and functionality.
• Collaborate with cross-functional teams to identify opportunities for process improvement and automation using data technologies.
• Create proof-of-concept prototypes and demos to showcase the potential benefits of new technologies.
• Provide guidance and mentorship to junior team members, ensuring their professional growth and development.
• Stay updated with the latest industry trends and advancements in data technologies, integrating relevant ones into our processes as appropriate.
  

Qualifications

• Experience in designing and implementing scalable and secure data platforms using open standards such as APIs, messaging protocols, and cloud computing services.
• Strong understanding of software engineering principles, including object-oriented programming, system design, and configuration management.
• Hands-on experience with scripting languages like Python or Bash, and proficiency in SQL for querying and analyzing large datasets.
• Solid grasp of information security best practices, particularly those related to data privacy and protection.
• Ability to work independently and drive results within a fast-paced environment while collaborating effectively with diverse stakeholders.
• Excellent communication skills to convey technical concepts to both technical and non-technical audiences.
• A passion for continuous learning and staying current with emerging technologies in the field of data engineering and analytics.