Data Engineer
1 month ago
Key Responsibilities:Co-evaluate business needs and objectives.Build IT/data systems and pipelines.Build algorithms and prototypes.Support data acquisition for research activities.Analyze and organize raw data for prescriptive and predictive modeling.Explore ways to enhance data quality and reliability.Create database objects and managing schemas.Document database procedures, functions, triggers, and dictionaries.Manage and coordinate with external parties to provide database support.Engage in infrastructure implementation and setup as per application requirements.Manage, design, and implement database backup and recovery procedure for database recovery.Collaborate with IRFRC researchers.Implement data quality validation processes to ensure data quality.Enforce best practices to ensure data security and privacy.
Job Requirements:PhD in computer science, information technology, or a related field.Previous experience as a data engineer or in a similar role.Technical expertise with data models, data mining, and segmentation techniques.Proficiency in programming languages (e.g., Java and Python).Hands-on experience with SQL database design.Experience with data warehousing technologies (e.g., Snowflake and Redshift).Experience in Unix/Linux, Virtual Machines, APIs.Familiarity with cloud platforms (e.g., AWS and Azure) and MS PowerApps.Numerical and analytical skills, problem-solving skills, and strong interpersonal skills.Familiarity with climate, environment, mortality, and health data.Knowledge of data security and privacy regulations.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
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