Data Engineer – Contract

This is a fully remote position, open to applicants in Singapore.

📋 Description

• Acquire and integrate data from various source systems, ensuring both accuracy and consistency.

• Design, implement, and maintain scalable database solutions that guarantee long-term reliability and performance.

• Develop automated, sustainable solutions while minimizing defects and technical debt.

• Assess and enhance system architecture to improve uptime and responsiveness.

• Create and uphold ETL processes and data pipelines.

• Conduct data mapping, integration, and quality checks to ensure valid and relevant data.

• Troubleshoot and resolve complex data-related issues and database stability challenges.

• Optimize SQL queries, indexes, and stored procedures for peak efficiency.

• Engage in code reviews to ensure adherence to standards and best practices.

• Implement unit and regression testing to ensure defect-free builds and releases.

• Maintain compliance with security and privacy regulations, including HIPAA.

• Protect information system assets by identifying and reporting potential and actual security incidents.

⛳️ Requirements

• Proficient in SQL and relational database principles.

• Over 4 years of experience with RDBMS (e.g., SQL Server, Oracle) and SQL optimization techniques.

• Familiarity with ETL concepts, data integration, and troubleshooting.

• Strong analytical and problem-solving abilities.

• Knowledge of high-volume OLTP environments and performance tuning strategies.

• Working understanding of NoSQL technologies (e.g., MongoDB, Elasticsearch).

• Exposure to cloud platforms, with a preference for Microsoft Azure.

• Capability to work independently and communicate effectively with both technical and non-technical stakeholders.

• Experience with stored procedures, T-SQL, and SSIS.

• Knowledge of HL7, CCD documents, and EDI X12 claims processing.

• Familiarity with Agile/Scrum development methodologies.

• Understanding of data structures (XML, JSON) and REST API integration.

• Experience with Big Data technologies (e.g., Hadoop).

• Proficient in Git and version control.

• Bachelor’s degree in Computer Science, Information Technology, or a related field is preferred.

• At least 2 years of experience in technology or healthcare-related data engineering roles.

• Compliance with information security, Acceptable Use Policy, and HIPAA privacy and security training requirements.

🏝️ Benefits

• Equal opportunity employer.

• Full-time employment.