MoMo is the market leader in mobile payments in Vietnam. We strive to make life better for every Vietnamese with innovation in technology. As many parts of the business grow, we are looking for an experienced Data Engineer to join the team. At MoMo BigData AI department, we focus on Smart, Efficienct, Execellent execution and data quality which providing high quality marterial for:
We are striving to build the new hydrid data platform on multiple cloud vendors helping us to better control the budget and technologies behind.
ML products such as recommendation, personalization, risk scoring, fraud detection, promotion targeting and financial services.
Business Performance, App Performance monitoring.
What you will do
Oversee and participate in data management activities, including:
Define, build, and manage the organization’s data architecture, including data models, data flows, data integration patterns, data pipelines, data processing, data warehouses, data marts…
Collect and centralize data from various sources, including internal systems, external partners, and third- party providers.
Ensure data privacy and security with appropriate policies and security measures.
Ensure data quality and accuracy with appropriate data quality checks and controls are in place.
Manage data throughout its lifecycle, from creation to retirement, to optimize its value and minimize risks.
Endeavor to create new data- driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.
Keeping up with industry trends and best practices, applying new technologies and techniques to enhance the organization’s data strategy
Work closely with other departments and stakeholders, including Business, Product, Finance, Marketing, Tech, and senior management, to ensure that data- related goals and initiatives are aligned with the organization’s overall strategy
What you will need
3+ years experience with data warehousing, ETL processes, and data integration
Technical skills related to data analysis, data modeling, and data architecture
Knowledge of data governance, data privacy, and data security regulations and best practices
Strong analytical and problem- solving skills
Experience with cloud platforms such as Google Cloud Platform or Amazon Web Service
3+ years experience with big data technologies, such as NoSQL, Hadoop, and Spark
