Data Engineer

General:
• Work with the business SME and PM to understand business needs and project objectives.
• Provide recommendations for data improvement, quality, and efficiency of data analytics project.
• Handle error logs and support the data architecture utilized by data scientists and analysts.
• Produce the technical documentation after project is completed.
• Attend project update meeting and provide regular update to SME, PM, other team members and business.

Main Role:
• Identify required data from SME, collect/acquire required data from identified sources to data lake platform.
• Prepare and transform data for data analytics modeling, ie. predictive, prescription modeling depending on business requirement and data availability.
• Build API interfaces, visualization reports and related reporting tools.
• Implement and manage company’s data analytics roadmap – ETL, services management, datalake data management, dat...