Sr. Systems Developer (Data Engineer)

  • Sector: 专业服务
  • Contact: Ma. Janine Lopez
  • Client: Monroe Consulting Group
  • Location: Manila
  • Salary: Negotiable
  • Expiry Date: 25 February 2026
  • Job Ref: BBBH491490_1764240896
  • Contact Email: janine.lopez@monroeconsulting.com.ph

Executive Monroe Consulting Group is recruiting on behalf of a global life sciences and clinical research company. Our client is looking for a Sr. Systems Developer (Data Engineer). In this role, you will play a crucial part in performing the systems analysis, building, development, testing, and support of highly complex technical information system components.

This job is based in Libis, Quezon City/Pasig City and has a Hybrid (2-3 days onsite) work set-up and night shift schedule (8:00 PM - 5:00 PM PST).

Key Job Responsibilities:

  • Ensure weekly EHR data updates for existing Vestrum panel physicians.
  • Integrate new panel members from existing EMR systems.
  • Lead the data integrations, ETL process, and database operations based per collaborators requirement.
  • Maintain and improve existing integrations while adding new EMR integrations
  • Continue to improve automated quality assurance functions to validate incoming data and ensure data is loaded into the warehouse accurately.
  • Normalize various EMR data into Data Warehouse and analytical database.
  • Maintain mapping tables for use by analysts (physicians, drugs, dosage forms and strengths, etc.)
  • Link and transform patient activity data into standardized outputs.
  • Implement requirements for backup and recovery, ensuring successful nightly recoverable backups of all databases.
  • Maintain data base documentation describing data elements.
  • Develop new data architecture and processes to improve performance using AWS analytical services.
  • Proficiency in Python & Pyspark.
  • Ensure database security and compliance with HIPAA, GDPR.
  • Manage operations including distribution of weekly and monthly reports.
  • Communicate and maintain strong relations with collaborators.

Key Job Qualifications:

  • Bachelor's degree or equivalent experience and relevant formal academic/vocational qualification.
  • Previous roles showcasing the proficiencies necessary to fulfil the job responsibilities (similar to 5+ years') or an equivalent blend of education, training, & experience.
  • SQL Server to AWS migration using analytical services.
  • Client-focused approach with strong interpersonal and communication skills.
  • Ability to multitask and prioritize with attention to detail.
  • Strong logical, analytical thinking, and problem-solving capabilities.
  • Proficiency in web development and scripting languages like Python and Shell.
  • Proficiency in SQL and relational database schema.
  • Expertise in relational database platforms: Oracle, SQL Server, MySQL, PostgreSQL.
  • Familiarity with server environments (Windows, Linux/Unix), Apache, IIS.
  • Familiarity with data governance, security, and compliance standards.
  • Experience with validated systems and the clinical industry (preferred).
  • Project management and leadership experience.

Must Have Skills:

  • Health care or Electronic Medical records, Clinical trial data domain experience.
  • Expert level SQL expertise.
  • Python programming and Databricks (Preferable).
  • Experience building Cloud BI solutions using AWS.
  • Proficiency in SQL server database technologies including SSIS and SSRS.
  • Experience with Data architecture, scalable data processing framework.
  • Data Modelling and database building experience.
  • Proficient in SQL and relational database advancement.
  • Strong problem-solving and analytical skills.
  • Excellent documentation and communication abilities.
  • Performance tuning and query optimization.
  • Leadership and mentoring capabilities.
  • Jira, GitHub experience.
  • Agile methodology experience.

Good to Have Skills:

  • Experience with MySQL and PostgreSQL.
  • Scripting and automation skills (e.g., Python, Shell)
  • Familiarity with Apache, IIS, and server environments.
  • Validated system experience.
  • Clinical industry knowledge.
  • Awareness of emerging database technologies.
  • Familiarity with Tableau or Power BI is helpful.
  • Familiarity with Databricks or Snowflake.
  • Experience in machine learning, NLP processing, and LLM is an advantage.
  • Familiarity with AWS cloud is beneficial.