Senior Data Engineer at Whiteball

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Analytics, Data Products, Data Mart Management, Data Quality, Governance, Automation, Optimization, Collaboration, Innovation, ETL, ELT, SQL, Python, Java, Golang

Industry

Description

Epsilo in a nutshell We develop a closed-loop platform empowering brands and agencies to stay on top of the market trends, monitor digital shelf, automate campaigns, and leverage operational insights for digital commerce growth. Our platform serves a varied client including leaders, operators, and scientists in media, marketing, and e-commerce teams across brands, digital agencies, e-commerce enablers, and marketplaces, facilitating efficient revenue generation on Retail Media Network, a $100B category that will dominate the digital advertising for a decade. We earn a track record of facilitating over $3 billion in GMV, optimizing more than $200 million in media spend, and catering to clients in over 10 countries worldwide. Recognized in Gartner's Market Guide for Digital Shelf Analytics alongside 15 other leading global SaaS companies from the US, Europe, and India. Our aspiration is to develop a Positional Software that simply change the way that advertisers gather insights and make decisions. A combination of Notion and The Trade Desk. Backed by “Surge by Peak XV Partner” Tasks What you’ll own and do Data Modeling & Metrics: Develop and maintain data models for transactional, analytical, and predictive use cases. Define key business metrics and enable stakeholders to generate insights. Analytics & Data Products: Design analytics solutions and scalable data products for marketing, operations, and finance. Data Mart Management: Maintain SAS Data Mart, ensuring data integrity, security, and performance optimization. Data Quality & Governance: Implement quality assurance, enforce governance policies, and develop metadata management systems. Automation & Optimization: Automate data pipelines, optimize transformations, and improve query performance. Collaboration & Innovation: Work with cross-functional teams to align technical solutions with business goals and integrate new technologies. Requirements We may fit those who (want to) Challenge the status quo and have the “yes if” mindset. Aspire to be a principal software engineer and above somewhere in time. Believe strongly that you can build product and service to make an impact at global scale. Eventually participate in shaping our product and company strategy. Debate and be listened. Who you are 4+ years of experience in data engineering, with a strong focus on data modeling and analytics. Advanced expertise in ETL/ELT pipeline design, data modeling, and metrics computation using tools like Apache Airflow, NiFi, or dbt. Proficiency in modern data architectures (e.g., Data Lakehouse, Delta Lake, Apache Iceberg). Advanced SQL skills and experience with data warehouses like BigQuery, Snowflake, or SingleStore. Proficiency in programming languages such as Python, Java, or Golang. Strong understanding of data quality monitoring, validation frameworks, and metadata management tools. Experience with BI tools (e.g., Power BI, Metabase) to design actionable insights dashboards. Experience in e-commerce, fintech, or healthcare domains is plus Familiarity with machine learning pipelines and vector databases. Strong problem-solving skills and business logic thinking. Apply for the role Benefits 14 days annual leave per years PTI insurance Lunch free One day WFH per month Team bonding: 20$/person/month Company trip once time per years

Responsibilities

Develop and maintain data models for various use cases and design scalable data products. Collaborate with cross-functional teams to align technical solutions with business goals and integrate new technologies.