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Match Group
Match Group
1 001 – 5 000 Xodimlar
H1B vizasi homiysiB2CTexnologiya
Match Group — odamlarga munosabatlar va aloqalar o‘rnatishga yordam beradigan raqamli platformalar hamda ilovalarni yaratadigan global texnologiya kompaniyasi. Uning mahsulotlari 40 dan ortiq tilda turli auditoriyalarga xizmat ko‘rsatib, onlayn tanishuv va ijtimoiy aloqalarni izlashga keng qamrovli yondashuvni aks ettiradi. Kompaniya zamonaviy munosabatlarni shakllantirayotgan insonlar uchun texnologiyalarni rivojlantirar ekan, ishonch, xavfsizlik, maxfiylik va barcha foydalanuvchilar uchun inklyuziv tajribaga alohida e’tibor qaratadi. Katta xalqaro texnologiya tashkiloti sifatida Match Group iste’molchi mahsulotlari, platformalarni ishlab chiqish hamda xavfsiz va foydalanish qulay bo‘lgan raqamli o‘zaro aloqalarni qo‘llab-quvvatlovchi tizimlar bilan bog‘liq turli rollarni taklif etadi.
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Kompaniyadagi ish o‘rinlari

Analytics Engineer, Data Enablement — Match Group | Tokyo Hybrid

Build trusted data models, pipelines, and semantic layers for Pairs, Japan’s leading online dating app. Enable AI-assisted analysis and faster, more reliable business decisions.

JPYaponiyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: yaponAnalitika muhandisi
AirflowAWSGoogle Cloud PlatformPythonSQL

Tavsif

  • Gather business and analytics needs, then design data models that both people and AI agents can accurately understand and query.
  • Design, implement, and operate a semantic layer that centralizes metric definitions and calculation logic for reliable AI-agent use.
  • Build ontology and business-context foundations that structure relationships among business concepts and metrics.
  • Implement and operate layered data pipelines with Dagster and dbt based on the designed data models.
  • Define data-quality standards using DMBOK, automate quality tests, and advance Data SRE practices including monitoring and SLI/SLO management.
  • Monitor and evaluate AI-generated SQL and answer accuracy, establishing feedback loops for continuous improvement.
  • Manage metadata and maintain documentation through a data catalog.
  • Design and operate data-use guidelines and access controls, while responding to data-related monitoring issues.
  • Enable non-engineering teams to use AI agents independently for everyday data analysis.

Talablar

  • Demonstrated knowledge and 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 and scan volume based on an understanding of cloud data warehouse characteristics.
  • Professional experience building, testing, and operating data pipelines with dbt or a comparable 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 in Python.
  • Foundational knowledge of data architecture and data governance.
  • Foundational 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.

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