Data Engineer

Key Responsibilities:

• Collaborate with Team Members and Clients: Work with coworkers and clients to clarify the requirements for data-related tasks and projects.
• Develop Data Infrastructure: Conceptualize and design robust infrastructures to facilitate easy access and analysis of big data.
• Optimize Existing Frameworks: Refactor and improve current data frameworks for enhanced performance and scalability.
• Test Data Structures: Ensure the designed data structures are fit for use by conducting rigorous testing.
• Prepare Raw Data: Clean, process, and prepare raw data to be utilized by data scientists for further analysis and modeling.
• Error Detection and Correction: Identify, troubleshoot, and correct errors in the data processing or storage pipeline.
• Data Backup and Accessibility: Ensure that all work is regularly backed up and is easily accessible by relevant coworkers or teams.
• Stay Current with Industry Trends: Keep up-to-date with the latest industry standards, technologies, and best practices that can enhance the quality of data processing and management.