8 дней назад
BI Engineer (Traveltech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
BI Engineer (SQL/Python): Designing and maintaining high-quality data products and dashboards for a B2B entity with an accent on scalable data transformations and financial reporting. Focus on optimizing query performance, building ETL/ELT pipelines, and ensuring data accuracy across large-scale platforms.
Location: Must be based in Bangkok, Thailand
Company
is a global travel platform part of Booking Holdings, connecting people to destinations and experiences worldwide.
What you will do
- Design and maintain dashboards, curated datasets, and data marts for B2B reporting and analytics.
- Build and manage ETL/ELT transformations to ensure data scalability and accuracy for reporting.
- Translate business requirements into scalable data models for financial reporting, forecasting, and performance tracking.
- Perform data validation, reconciliation, and root cause analysis to resolve production issues.
- Optimize queries and data models to improve reliability and user experience.
- Collaborate with Data Engineering and cross-functional stakeholders to align on technical requirements.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- 2+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering.
- Strong SQL skills for writing efficient and maintainable queries for complex reporting use cases.
- Experience with ETL/ELT development using Python, Airflow, or similar orchestration tools.
- Solid understanding of data modeling concepts including fact/dimension design and grain definition.
- English: Proficient communication skills required for documenting and collaborating with stakeholders.
Nice to have
- Experience with Snowflake, including clustering and materialized views.
- Familiarity with Agile/Scrum and CI/CD practices using Git, Jenkins, or Terraform.
- Experience designing BI products that support self-service analytics.
Culture & Benefits
- Opportunity to work within a diverse, international team of over 7,000 people from 90 countries.
- Data-driven culture focusing on curiosity, innovation, and experimentation.
- Experience with large-scale data platforms such as Hadoop, Spark, Impala, and Vertica.
Hiring process
- Interviews conducted according to specific Hiring Process Guidelines.
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