Analytics Engineer, Data Enabling
Match Groupalmost 2 years ago
Tokyo, JapanSenior
Responsibilities
- Gather business and analytics requirements and design data models that can be accurately understood and queried by people and AI agents.
- Design, implement, and operate a semantic layer that centrally manages metric definitions and calculation logic.
- Develop ontology and business-context foundations connecting business concepts with metrics.
- Implement and operate layered data pipelines using Dagster and dbt.
- Define data-quality standards and automate testing, monitoring, and Data SRE-style SLI/SLO operations.
- Build monitoring, evaluation, and continuous-improvement feedback loops for AI-agent SQL generation and answer accuracy.
- Manage metadata and documentation through a data catalog.
- Design and operate data-use guidelines and access controls, and respond to data-related monitoring issues.
- Enable non-engineers to independently use AI agents for everyday data utilization.
Requirements
- Experience understanding business and analytics use cases and designing and implementing appropriate data models.
- Experience using SQL for data analysis and aggregation to support business decisions and improvements.
- Experience optimizing query performance and reducing costs or scan volume based on cloud data warehouse characteristics.
- Practical experience building, testing, and operating data pipelines with dbt or another data-transformation framework.
- Experience operating data pipelines with a job orchestrator such as Dagster or Airflow.
- Practical knowledge and experience defining data quality and designing tests and monitoring to maintain it.
- Experience implementing data analysis, processing scripts, or jobs with Python.
- Basic knowledge of data architecture and data governance.
- Basic knowledge of cloud platforms such as AWS or GCP.
- Ability to proactively communicate across engineering, product management, BI, and business teams, organize issues, and build consensus.
- Business-level or higher Japanese proficiency.
Categories
Data Engineering
About Match Group
Match Group builds and operates a global portfolio of online dating apps, including Tinder, Hinge, Match, OkCupid, Plenty of Fish, Meetic, The League, and HER. It monetizes through freemium subscriptions, à la carte in‑app features, and advertising; the public company trades on NASDAQ and is headquartered in Los Angeles, serving users across many markets and languages.