Jr Data Engineer

Overview

Data Engineer responsible for acquiring, integrating and managing data from various sources within a complex ecosystem, designing scalable database solutions across relational and NoSQL technologies.

What you'll do

• Acquire and integrate data from multiple source systems, ensuring accuracy and consistency.
• Design, implement, and maintain scalable database solutions for long-term reliability and performance.
• Build automated, sustainable solutions while minimizing defects and technical debt.
• Evaluate and optimize system architecture to improve uptime and responsiveness.
• Develop and maintain ETL processes and data pipelines.
• Perform data mapping, integration, and quality checks to ensure valid and relevant data.
• Troubleshoot and resolve complex data issues and database stability problems.
• Optimize SQL queries, indexes, and stored procedures for maximum efficiency.
• Participate in code reviews and ensure compliance with standards and best practices.
• Incorporate unit and regression testing for defect-free builds and releases.
• Maintain compliance with security and privacy regulations (e.g., HIPAA).

What you'll need

• Proficiency in SQL and relational database principles.
• 2+ years of experience with RDBMS (e.g., SQL Server, Oracle) and SQL optimization techniques.
• Experience with ETL concepts, data integration, and troubleshooting.
• Strong analytical and problem-solving skills.
• Familiarity with high-volume OLTP environments and performance tuning strategies.
• Working knowledge of NoSQL technologies (e.g., MongoDB, Elasticsearch).
• Exposure to cloud platforms (Microsoft Azure preferred).
• Ability to work independently and communicate effectively with technical and non-technical stakeholders.

Nice to have

• 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).
• Git and version control proficiency.
• Bachelor's degree in Computer Science, Information Technology, or related field.
• 2+ years of experience in technology or healthcare-related data engineering roles.

Details

• Location: Singapore, Singapore.
• Travel: 5%.
• Maintain compliance with training directives pertaining to Information Security, Acceptable Use Policy and HIPAA Privacy and Security.
• Safeguard information system assets by identifying and reporting potential and actual security events to the organization Security and Compliance Officers.