Job Expectations :
- Position Type : Experienced - IC
- Employment Type : Full-Time; Permanent (Direct Hire)
- Work Setup & Location : WFH - Metro Manila
- Work Schedule : Mondays - Fridays; Night Shift (Can be mid shift after 3 months)
- Industry : Healthcare
About the Job :
We are seeking a motivated and detail-oriented Data Engineer to join our client's team and contribute to the design, development, and implementation of robust data warehouse solutions. In this role, you will assemble and optimize data pipelines and architectures that enable analytics and reporting across Clinical, Hospital Performance, and Corporate functions. You will play a key role in ensuring data availability, accuracy, and performance by leveraging cloud-based technologies such as Google BigQuery or equivalent. The ideal candidate is a strong problem solver with expertise in SQL and data engineering best practices, capable of building scalable processes, maintaining system performance, and collaborating with cross-functional stakeholders to deliver high-quality, actionable insights in a fast-paced healthcare environment.
Qualifications :
Bachelor's Degree in Computer Science, Information Technology, or a related fieldStrong SQL and relational database design / development expertiseHands-on experience in building and managing data pipelines for ETL (extraction, transformation, and loading) using SQL and cloud-based technologies such as Google BigQuery or equivalentAbility to perform root cause analysis on data and processes to identify opportunities for improvement and deliver optimized solutionsProven skills in developing processes that support data transformation, workload management, metadata, and dependency handlingProficiency in modern programming and scripting languages such as Python, Java, or ScalaExcellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholdersStrong interpersonal skills with the ability to engage with all levels of the organizationWilling to work on-site on training for 1-2 weeks at BGC, Taguig for IT Asset CollectionWilling to work in US hours (graveyard shift)Preferred :
Experience working with healthcare data systems or patient financial service systemsFamiliarity with big data tools such as Kafka and SparkKnowledge of workflow management tools such as AirflowExperience building and optimizing near-real-time or large-scale data pipelinesExposure to healthcare system integration (Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen)Only shortlisted candidates will be contacted; updating / tailoring CV is highly recommended