Vista previa de la oferta
Marketing Data Engineer
senior · Technology / Software Development
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Key Responsibilities
Marketing Data Pipeline Development: Build and maintain data pipelines using PySpark in Hadoop environments to extract, transform, and load marketing data from internal and external platforms
First-Party Measurement & Experimentation: Support A/B testing, incrementality testing, and geo-based experiments to measure true marketing lift; prepare and maintain data pipelines for Marketing Mix Modeling (MMM) initiatives
CRM & CDP Analytics: Manage data flows between CRM systems and Customer Data Platforms; build audience segments, support personalization efforts, and maintain unified customer profiles
Data Quality & Governance: Develop data quality frameworks with automated validation checks and anomaly detection; ensure data accuracy and support privacy compliance requirements (GDPR, CCPA)
Analytics & Reporting: Create automated workflows for campaign reporting and marketing performance dashboards; build analytics tools that provide insights into customer acquisition, ROI, and campaign effectiveness
Cross-functional Collaboration: Partner with Marketing, Insights & Analytics team, Data Science, and other functions to translate requirements into technical solutions; define audience segmentation and measurement requirements for campaign delivery. Significant collaboration with marketing data steward to ensure data ingestion requirements, audience qualification, and data quality standards are met. Support the management of unique consumer identifiers, identity resolution processes, audience matching, and privacy-compliant tokenization methodologies to enable audience activation and measurement.
Required Skills
- Strong programming skills in Python with experience in PySpark and Spark SQL
- Advanced SQL knowledge for complex data manipulation and analytics
- Knowledge of data ingestion requirements for marketing automation systems.
- Experience with Hadoop ecosystem components (HDFS, Hive, YARN)
- Familiarity with data orchestration tools (Airflow, Oozie, or similar)
- Understanding of experimentation and data science methodologies: A/B testing, incrementality testing, and lift measurement
- Experience with marketing automation platforms such as WebEngage, Adobe Campaign, Salesforce Marketing Cloud, or similar platforms.
- Understanding of marketing audience deployment and campaign targeting workflows, and segmenting customer audiences for deployment across email, mobile, web, and paid media activation channels.
- Experience with customer identity resolution, audience matching, unique consumer identifiers, hashed identifiers, and tokenization methodologies.
- Understanding of privacy-compliant customer matching practices.
- Knowledge of first-party data strategies and privacy-compliant measurement approaches
- Experience with data visualization tools (Tableau, Power BI, Google Data studio)
- Strong problem-solving abilities and analytical thinking
- Demonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require
Preferred Skills
- Experience designing and conducting survey-based marketing research, including audience sampling, hold-out group creation, questionnaire design, audience selection, hold-out group methodologies, response analysis, and participation incentive programs.
- Demonstrated experience in customer life cycle analytics
- Prior marketing analytics skills, within the B2B space or product marketing data management. Knowledge of building dashboards to measure leads generation and qualification
- Experience analyzing data related to marketing activities such as content creation, events such as trade shows & conferences, Webinars, partner led marketing, CRM through email, media campaigns etc
- Self-starter, able to work and problem solve independently with minimal supervision
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- Bachelor's or Master's degree in Computer Science, Data/CRM Data Analytics, marketing technology, audience strategy or related field
- 5-8 years of experience in data analytics or data engineering, preferably with marketing data
- Certifications in cloud platforms, Salesforce, or data management are a plus
Demonstrated ability and willingness to collaborate with stakeholders across global time zones, including participation in early morning or evening meetings with U.S.-based teams when business needs require.
• Business-level English proficiency with strong written and verbal communication skills, including the ability to prepare presentations, communicate analytical findings, and engage effectively with senior stakeholders.
- Experience in data visualization software (e.g., Tableau, QlikView, PowerBI).
- Experience in analytics with a focus on data visualization.
- Experience leading design discovery meetings with end-users.
- Experience working in big data environments.
- Experience working in Agile or fast-paced and dynamic environments.
- Experience with SQL and understanding of data modeling concepts such as Star Schemas/Snowflake.
- Foundational knowledge of probability and statistics.
- Experience managing multiple priorities and working cross-functionally in a matrixed organization.
- Experience visualizing data with tools like Tableau; advanced Tableau skills are highly desired.
Preferred Qualifications:
- Proven experience in service level management, SLA reporting, or a similar role within a technology-driven environment.
- Advanced competence in Excel, PowerPoint, and Tableau.
- Experience in mentoring and team collaboration.
- Visa experience or knowledge of the payments industry is a plus.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.