Senior Data Engineer SQLCloud

Job Expectations:

• Position Type: Experienced - Mid/Senior
• 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 highly skilled and motivated Senior Data Engineer to join our clients team and drive the design development and implementation of advanced data warehouse this role you will build and optimize data pipelines models and infrastructure to support analytics and reporting across Clinical Patient Accounting and Corporate functions playing a key role in ensuring scalability automation and efficiency in data processes while collaborating with cross-functional teams to deliver actionable insights that strengthen business decision-making. This position is cloud-facing and requires hands-on expertise in modern cloud-based data technologies such as Google BigQuery or equivalent. The ideal candidate is a proactive problem solver with a strong foundation in SQL and data warehousing capable of identifying process improvements enhancing system performance and ensuring data integrity while also partnering closely with stakeholders mentoring peers through code reviews and contributing to a culture of continuous improvement in a fast-paced healthcare environment.

Qualifications:

• Bachelors Degree in Computer Science Information Technology or a related field
• Strong SQL and relational database design/development expertise
• Proven hands-on experience in data warehousing development (Teradata BTEQ Oracle PL/SQL SQL Server T-SQL Netezza or equivalent) with the ability and willingness to adapt to Google BigQuery
• Skilled in building and optimizing large-scale data sets data pipelines and architectures
• Strong experience in data modeling and data warehouse design
• Ability to perform root cause analysis and deliver process improvements across structured and unstructured data
• Proficiency in cloud-based data warehouse technologies such as Google BigQuery or similar
• Excellent analytical problem-solving and communication skills
• Strong interpersonal skills with the ability to engage stakeholders at all levels
• Willing to work on-site on training for 1-2 weeks at BGC Taguig for IT Asset Collection
• Willing to work in US hours (graveyard shift)

Preferred:

• Experience in healthcare data systems or patient financial service systems
• Familiarity with big data tools such as Kafka and Spark
• Knowledge of workflow management tools (e.g. Airflow) and programming/scripting languages including Python Scala Java or C
• Understanding of hospital information systems and healthcare system integration (Cerner Meditech CPSI Allscripts EPIC McKesson NextGen)

***Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended***