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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четкий фокус на качестве и управлении данными в платежной сфере, есть взаимодействие с разными командами и упомянуты актуальные платформы данных; зарплата не указана.
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Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Governance Engineer (Payments): Ensuring data used by analytical, decisioning, optimization, and commercial products is accurate, complete, well understood, and fit for purpose with an accent on data-quality controls, profiling, reconciliation, and monitoring. Focus on investigating complex data anomalies, defining data contracts and semantic expectations, and communicating data risks across product, operational, business, and client contexts.
Location: Hybrid in Cincinnati, Ohio or Atlanta, Georgia, United States
Company
hirify.global provides payment and commerce technologies supporting global financial products and services.
What you will do
Assess data quality and fitness for purpose across analytical, decisioning, optimization, and commercial products.
Establish acceptance criteria, thresholds, profiling, reconciliation, and monitoring controls for critical datasets.
Investigate complex data anomalies across source systems, ingestion, transformation, business logic, and downstream consumption.
Define semantic expectations, data contracts, automated alerts, tolerances, definitions, dependencies, assumptions, limitations, and appropriate uses.
Communicate data risks and their product, operational, business, and client impact while recommending systemic improvements.
Partner with Product, Data Engineering, Data Science, Data Governance, and business subject-matter experts throughout the product development lifecycle.
Requirements
Bachelor’s degree in Computer Science, Statistics, Mathematics, Information Systems, Engineering, or a related field.
10+ years of experience in data analytics, data quality, data engineering, or a related discipline, with the ability to operate independently as a senior individual contributor.
Advanced SQL skills and demonstrated success profiling, reconciling, and investigating large, complex datasets.
Experience defining data-quality rules, thresholds, controls, and monitoring, including anomaly investigation and root-cause analysis.
Strong written and verbal communication skills, with the ability to translate technical data issues into clear product, business, operational, and client implications.
Nice to have
Experience in merchant acquiring, a payment service provider, or a card network environment.
Experience supporting data-intensive products such as transaction processing, optimization, real-time recommendation systems, or commercial data products.
Familiarity with cloud data platforms and modern data architectures, including Snowflake, Databricks, and AWS, as well as data contracts or data-product operating models.
Culture & Benefits
Hybrid work arrangement in Cincinnati or Atlanta.
Collaboration across global, inclusive, cross-functional teams.
Equal opportunity employment with reasonable accommodations during hiring and employment.
Conditional offers for work in the United States require a drug test.
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