Data Engineer

About the Company

As a Data Engineer at OneD, you won’t just collect data; you will build the foundation that empowers our Product and Business teams to drive growth through actionable insights. You will collaborate closely with the Data Lead and Product Analysts to design and maintain a robust data infrastructure that supports user behavior data across Mobile, Web, and Smart TV, ensuring data is accurate, accessible, and ready for business impact.

About the Role

As a Data Engineer at OneD, you will be responsible for building and maintaining the data infrastructure that supports our business needs.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from various sources (Mobile, Web, Backend APIs) into the Data Warehouse.
• Optimize Data Warehouse architecture to handle high-concurrency and large-scale streaming data from OneD users.
• Work with Product Managers and Developers to define and implement event tracking standards such as content consumption, subscription journeys, and search CTR.
• Manage tracking QA to validate events are captured according to business logic before they reach the warehouse.
• Transform raw data into clean, business-ready models (Mart/Gold Layer) using dbt and collaborate to define consistent business metrics as a single source of truth.
• Document data definitions and schemas, monitor pipeline health and performance, and proactively troubleshoot to maintain high data availability and reliability.

Qualifications

• 2–5 years of experience in Data Engineering, Data Infrastructure, or a similar role.
• Thai Nationality only.

Required Skills

• Advanced SQL for complex data transformations.
• Experience with cloud data warehouses (BigQuery, Snowflake, or Redshift).
• Proficiency in Python for data processing and automation.
• Hands-on experience with dbt (Data Build Tool).
• Familiarity with tracking tools (Segment, Firebase, GTM, or Mixpanel) and data visualization tools like Metabase.

Preferred Skills

• Product-driven mindset with understanding of why data is needed and how it impacts user experience.
• Detail-oriented with a focus on data correctness and ensuring numbers are accurate at the source.

Benefits

• Scale: Work on high-traffic video streaming data at national scale.
• Impact: Data team embedded within Product/Data so work directly influences business decisions and product features.
• Innovation: Be a key player in building the data foundation for Smart TV and Mobile streaming experiences.

Additional Information

OneD is committed to diversity and inclusivity in the workplace.