Middleware Data Engineer ( Job Location : Kuala Lumpur)

Project overview:

Minimize time between clinical cut off date (CCOD) / LPLV to marketing authorization of pivotal studies through accelerated filing and HA interactions in a sustainable way (without increasing resources), and at the optimal quality to meet regulators' needs.

Streamlining other submission types that are not part of a major filing (e.g, US INDs, CTAs, International filings as prioritised by pharma strategy).

Responsibilities and requirements for the position:

1. Build scalable end-to-end data pipelines to integrate and model datasets from different sources that meet functional and non-functional requirements.
2. Manage the technical scope and architecture of the project before, during, and after delivery.
3. Work with data engineering teams to deliver cutting-edge data products on the cloud for internal customers.
4. Work with business and functional stakeholders to understand data requirements and downstream analytics needs.
5. Ratify technology solutions, produce concise design documents, contribute to work estimates, and refactor code based on requirements.
6. Translate business requirements & E2E designs into technical implementations based on system capabilities.
7. Define, and promote re-usable, extendible, scalable, and maintainable solutions considering trade-off for cost vs benefit.
8. Foster a data-driven culture throughout the team and lead data engineering projects that will have an impact throughout the organization.
9. Perform technical walk-throughs to ensure effective communication of system architecture.
10. Fully adhere to and evangelize an entire CI/CD pipeline.
11. Relevant experience in databases (columnar, NoSQL, Postgres, and/or Snowflake).
12. Strong data analysis skills and ability to slice and dice the data as needed for stakeholders' reporting.
13. API development and use of JSON/XML as data formats.
14. Work with data scientists for better understanding business requirements.

Required technologies and skills: AWS, Databases, SQL, Python (must)

Job Types: Full-time, Contract
Contract length: 12 months