Senior Data & Analytics Engineer (Azar)
Match Group5 months ago
Seoul, Korea, SouthSenior
Responsibilities
- Design and operate Silver+ and Mart data products with Airflow and dbt, owning their consistency, reproducibility, and reliability.
- Build and manage metric and semantic layers, including standardized metric definitions, calculations, versioning, and change impact management.
- Operate data quality and observability systems using dbt tests, custom checks, anomaly detection, and trust-level models.
- Standardize analytics serving through dashboards, reports, and KPI monitoring in collaboration with PA, PM, Marketing, and FP&A teams.
- Contribute to experiment and analytics automation, Reverse ETL specifications, and data governance covering schemas, terminology, and ownership.
- Define and implement privacy and compliance controls, including collection-stage blocking, anonymization and pseudonymization, opt-out events, scheduled deletion, and DLP policies at the data layer.
- Develop data pipelines, data models, documentation, metadata, and internal and external data products for monetization, statistics, and operations.
Requirements
- Professional experience in data pipeline engineering with SQL, Python, Airflow, and dbt.
- Understanding of data warehouse modeling and performance using technologies such as Databricks and BigQuery.
- Experience applying software engineering practices such as testing, CI/CD, and version control to data pipelines.
- Experience converting business-domain data into reliable data products.
- Ability to independently design and own systems while coordinating and communicating across teams.
- Preferred: experience building semantic layers or MetricFlow and data quality frameworks.
- Preferred: experience with large-scale traffic data and real-time or near-real-time processing.
- Preferred: experience in data privacy, compliance engineering, or DLP implementation and operations.
- Preferred: strength in at least one of Product Analytics, Growth or Marketing, FP&A, or AI/ML.
Benefits
- Full-time permanent employment.
- Opportunity to manage global-scale data exceeding tens of terabytes per day.
- Opportunity to design data systems, develop data applications, and apply new engineering practices to production.
- Experience with EKS, BigQuery, Databricks, Airflow, dbt, public-cloud data infrastructure, and related frameworks.
- Hiring process: document screening, assignment, recruiter call, first interview, second interview, and final decision; additional stages may be added or changed if necessary.
- Applications may be submitted with a detailed Korean- or English-language résumé in PDF format.
- 国家보훈대상자는 applicable law에 따라 우대됩니다.
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.