About DataXight

At DataXight, we are committed to transforming healthcare. We’re passionate about empowering our team to work on projects that not only push biomedical boundaries but also make a tangible difference in human health. Every day here brings new challenges and opportunities for impact. Are you ready to be part of something great?

The Role

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic digital transformation team. The ideal candidate will have a strong background in SQL, Python, Data Modeling, and ETL processes. You will be responsible for developing, maintaining, optimizing, and productizing data pipelines, ensuring data accuracy and reliability of the business intelligence data layer. Your work will directly impact the company’s ability to make data-driven decisions by helping to develop a semantic layer that will serve up enterprise and financial analytics to the company. 

This position is based in Danang, Vietnam. Initially, employees will work remotely but should anticipate transitioning to onsite work in Danang in the future. Onsite opportunities are also available in Ho Chi Minh City and Bangkok, Thailand—please visit our Careers page for details.

Key Responsibilities

  • Data Pipeline Development: Design, develop, maintain, and optimize data pipelines to ensure the efficient and reliable movement of data across various systems, with a focus on scalability and performance.

  • Data Ingestion: Ingest data from multiple internal and external systems, ensuring seamless integration and data flow across the organization.

  • Data Modeling and BI Data Layer Development: Design and refine comprehensive data models to support robust business analytics. Develop and maintain the Business Intelligence (BI) data layer to ensure seamless integration with various BI tools and effective data visualization. Ensure that data models and BI layers are accurate, scalable, and aligned with business requirements, providing a solid foundation for actionable insights and strategic decision-making. 

  • Complex Query Writing: Write, optimize, and maintain complex SQL queries to extract, manipulate, and analyze data in support of business decision-making.

  • Database Warehouse: Manage data storage and processing with data warehouse services such as Amazon Redshift, ensuring data integrity, performance, and scalability.

  • Data Validation: Perform thorough data validation across systems to ensure accuracy, consistency, and completeness of data, addressing discrepancies as needed.

  • Reporting and Dashboards: Develop, maintain, and optimize reports and dashboards that provide insights into key financial metrics such as cloud spend and profit margin reporting.

  • Documentation: Create and maintain comprehensive business and technical documentation for all data processes, including financial data workflows, data models, and ETL processes.

Required Skills

  • Python for ETL: Strong skills in Python, particularly for ETL processes, including data extraction, transformation, and loading.

  • SQL Expertise: Proficiency in SQL, with a preference for experience in Postgres or Redshift, and the ability to write and optimize complex queries.

  • Data Modeling: Extensive experience in data modeling, with the ability to design and implement data models that support robust business analytics.

  • Source Control: Experience with source control systems such as GitHub, ensuring version control and collaboration on data engineering projects.

  • Education: B.S., in Software Engineer, Data Engineer, Data Science, or a related field.

  • Experience: Minimum of 5 years of experience in data engineering or a related field.

  • Leadership: Strong leadership skills, with a demonstrated ability to mentor junior team members.

  • Problem Solving: Exceptional problem-solving abilities and meticulous attention to detail.

  • Communication: Outstanding communication skills, capable of liaising with both technical and non-technical stakeholders.

Preferred Qualifications

  • Airflow Experience: Familiarity with Apache Airflow or similar workflow orchestration tools for scheduling and managing complex data pipelines.

  • Biomedical Experience: Experience in the biomedical field is highly desired

  • FAIR Knowledge: Knowledge of FAIR (Findable, Accessible, Interoperable, and Reusable) principles.

Lifelong Skills

  • Inquisitive Mindset: Demonstrates curiosity, constantly seeking to understand project details and underlying principles, indicative of a continuous learning approach.

  • Clarity and Insight: Actively seeks clarity and understanding of project requirements to ensure accurate and effective implementation.

  • Depth of Perception: Has talent for looking beyond initial requests, intuitively grasping and addressing the core needs and objectives underlying a project.

  • Implementation Insight: Able to outline and describe the phases of project implementation, breaking down intricate tasks into manageable steps.

  • Articulate Communication: Exhibits strong verbal and written communication skills.

Why You Should Apply

This is more than a job; it’s an opportunity to join a team that's earnest about making a global impact in human health. We provide room for growth, a dynamic and collaborative environment, and the chance to make your mark in an industry ripe for innovation. Join our team and immerse yourself in a dynamic, supportive, and friendly workplace that fosters collaboration and personal growth. 

We are committed to your professional development and offer opportunities for training and attending conferences to enhance your skills and knowledge in your field. Our comprehensive benefits package includes:

  • 12 days of annual leave

  • 2 floating holidays

  • 11 national holidays

  • Public and private health insurance

  • Company-provided onsite lunches, snacks, happy hours, and sport activities

  • Access to a MacBook, cloud computing resources and tools

By joining our team, you'll be part of an environment where innovation thrives and your ideas matter. At DataXight, we value diversity and teamwork. Work alongside talented and supportive professionals to transform healthcare. Take the next step in your career and apply at DataXight today. Send your resume, cover letter, and relevant work samples or GitHub profile to careers@dataxight.com. We look forward to reviewing your application and potentially welcoming you to our globally connected team!