7 дней назад
Marketing Data Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Data Engineer (PySpark/Hadoop): Building and maintaining marketing data pipelines, experimentation workflows, CRM/CDP integrations, and campaign performance analytics with an accent on first-party measurement, audience activation, data quality, and privacy-compliant identity resolution. Focus on designing scalable big-data workflows, measuring marketing lift, creating unified customer profiles, and supporting tokenized audience matching across global stakeholders.
Location: Singapore; at least 3 days in the office
Company
is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and governments in more than 200 countries and territories.
What you will do
- Build and maintain PySpark data pipelines in Hadoop environments for internal and external marketing data.
- Support A/B testing, incrementality testing, geo-based experiments, and Marketing Mix Modeling initiatives.
- Manage CRM and Customer Data Platform data flows, audience segmentation, personalization, and unified customer profiles.
- Develop automated data-quality checks, anomaly detection, governance frameworks, and privacy-compliant processes.
- Create campaign reporting workflows, marketing performance dashboards, and analytics tools for acquisition, ROI, and campaign effectiveness.
- Collaborate with Marketing, Insights & Analytics, Data Science, and data stewards on audience qualification, identity resolution, tokenization, and measurement requirements.
Requirements
- 5–8 years of experience in data analytics or data engineering, preferably with marketing data.
- Strong Python, PySpark, Spark SQL, and advanced SQL skills, including data modeling with Star Schemas or Snowflake.
- Experience with Hadoop components such as HDFS, Hive, and YARN, plus orchestration tools such as Airflow or Oozie.
- Knowledge of experimentation, incrementality testing, lift measurement, first-party data strategies, and privacy-compliant customer matching.
- Experience with marketing automation platforms, CRM/CDP workflows, audience deployment, identity resolution, hashed identifiers, and tokenization.
- Business-level English and willingness to attend early morning or evening meetings with U.S.-based teams when required.
Nice to have
- Experience with survey-based marketing research, customer lifecycle analytics, B2B marketing analytics, or product marketing data management.
- Experience analyzing content, events, webinars, partner-led marketing, CRM email, and media campaigns.
- Certifications in cloud platforms, Salesforce, or data management.
- Experience with service-level management, SLA reporting, mentoring, or payments industry projects.
Culture & Benefits
- Hybrid work arrangement with at least 3 days in the office.
- Collaboration across global time zones and functions in a matrixed organization.
- Work in an Agile and fast-paced environment with multiple priorities.
- Equal employment opportunity workplace.
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