Data Engineer with Expertise in Cloud-Native Pipelines

2 weeks ago

Singapore beBeeDataEngineer Full time $180,000 - $250,000
Job Description

We are seeking an experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines that extract data from various sources and populate a data lake and data warehouse.

Key Responsibilities:
  • Design and develop data pipelines using cloud-native technologies.
  • Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.
  • Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external.
  • Use data orchestration, logging, and monitoring tools to build resilient pipelines.
  • Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability.

Requirements:
  • Bachelor's degree in Information Technology, Computer Science, or any related field.
  • 10+ years of experience in developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.
  • Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.
  • Experience working with cloud-native technologies such as Amazon Web Services (AWS) and Google Cloud Platform (GCP).
  • Strong understanding of software development lifecycle (SDLC) practices, including versioning, release management, and deployment.
  • Ability to design, build, and unit test applications using Spark framework on Python.

Benefits:
  • Opportunity to work with a global healthcare biopharma company.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

How to Apply:
Please submit your application through the link provided below.

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