2 months ago
Bangkok, ThailandSenior
Responsibilities
- Partner with engineering managers and leaders to translate business and engineering questions into measurable metrics and information.
- Define and maintain consistent metric definitions across reports and published data products.
- Design, build, and maintain ETL/ELT transformations, Spark/Python workflows, warehouse models, and scalable data products.
- Review pipeline and metric work, raise delivery standards, and unblock the team.
- Analyze large datasets with SQL and Python to support engineering and operational decisions.
- Design and maintain dashboards and visual reports for self-service exploration of engineering metrics.
- Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning.
- Own published metrics by documenting filters and grain, identifying untrustworthy numbers, and recommending next steps.
- Use AI tools such as Cursor and Claude to accelerate development while reviewing and verifying outputs before production use.
Requirements
- At least 5 years of experience in business intelligence, analytics, and/or data engineering, including stakeholder consulting and hands-on pipeline or data-product work.
- Advanced SQL skills, including joins, window functions, and performance optimization on large datasets.
- Strong Python or similar programming skills for building data pipelines.
- Experience with ETL/ELT and orchestration tools such as Kubeflow or similar.
- Strong analytical ability to frame business questions, explore data, and communicate clear insights.
- Experience building stakeholder dashboards or visual reports.
- Ability to alternate between stakeholder discussions and hands-on technical work such as metrics definition, analysis, ETL, and data modeling.
- Practical experience generating, reviewing, testing, and owning AI-assisted development output.
- Clear written and verbal English and the ability to work independently with engineers and leaders in an agile environment.
- Experience with Agile/Scrum and CI/CD practices such as GitHub Actions or GitLab CI is preferred.
- Interest in developer productivity or engineering analytics is preferred.
- Experience with data platforms or big-data technologies such as BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, or StarRocks is preferred.
- Experience with visualization or data-serving UIs such as Apache Superset, Tableau, or a lightweight web app is preferred.
- Experience building APIs or internal data products beyond dashboards is preferred.
- A degree in Computer Science, Engineering, or Information Systems, or equivalent practical experience, is preferred.
Tech Stack
Amazon RedshiftApache HiveApache SparkApache SupersetGitHub ActionsGitLab CI/CDGoogle BigQueryPythonSnowflakeSQL
Categories
Data Engineering
About Agoda
Agoda is a global online travel platform for booking hotels, homes, flights, and activities, serving travelers and accommodation partners worldwide. Its web and mobile marketplace matches demand and supply and monetizes through commissions and related partner services. Founded in 2005 and headquartered in Singapore, Agoda operates as a subsidiary of Booking Holdings, with extensive operations across Asia-Pacific markets.