Data Engineer

Responsibilities:

• Work closely with data technicians to deploy a public health surveillance system.
• Optimize data pipelines, infrastructure, and workflows to enhance performance and scalability.
• Monitor and troubleshoot data pipelines and systems, addressing performance issues, errors, and anomalies.
• Implement security measures to safeguard sensitive information.
• Work closely with data scientists, analysts, and other stakeholders to understand their data requirements and ensure that the data infrastructure supports organizational goals.
• Communicate effectively with all organizational levels to gather requirements, provide updates, and present findings.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum 5 years of relevant professional experience in data engineering.
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL, with the ability to implement data automations within existing frameworks.
• Excellent verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Key Skills:

• Machine learning.
• ETL.
• SQL.
• Programming.
• Big data.
• Cloud.
• Data warehouse.
• SQL databases.