Data Engineer

Description

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 all platforms—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 Data Pipeline & Infrastructure (The Foundation) Design, develop, and maintain scalable ETL/ELT pipelines to ingest data from various sources (Mobile, Web, Backend APIs) into our Data Warehouse. Optimize the Data Warehouse architecture to handle high-concurrency and large-scale streaming data from OneD users. Event Tracking & Instrumentation Work with Product Managers and Developers to define and implement Event Tracking standards (e.g., Content Consumption, Subscription Journeys, Search CTR). Ensure data integrity by managing Tracking QA—validating that events are correctly captured according to business logic before they hit the warehouse. Analytics Engineering (dbt-centric) Transform raw data into clean, business-ready models (Mart/Gold Layer) using dbt (as specified in our roadmap). Collaborate with Analytics Engineers to establish a "Single Source of Truth" by defining consistent business metrics across the organization. Data Governance & Reliability Own the documentation for data definitions and schemas to ensure everyone speaks the same "data language." Monitor pipeline health and performance, proactively troubleshooting issues to maintain high data availability and reliability. Qualifications Experience: 2–5 years of experience in Data Engineering, Data Infrastructure, or a similar role. Thai Nationality Only Required Skills Strong command of Advanced SQL for complex data transformations. Experience with Cloud Data Warehouses (e.g., BigQuery, Snowflake, or Redshift). Proficiency in Python for data processing and automation scripts. Hands-on experience with dbt (Data Build Tool) is highly preferred. Familiarity with tracking tools (e.g., Segment, Firebase, GTM, or Mixpanel) and data visualization tools like Metabase. Preferred Skills Product-Driven: You don't just build pipelines; you understand why the business needs the data and how it impacts the user experience. Detail-Oriented: A obsession with "Data Correctness" and ensuring numbers are accurate at the source. Pay range and compensation package Why Join OneD? Scale: Tackle challenges associated with high-traffic video streaming data at a national scale. Impact: Our Data team is embedded within the Product/Data side, meaning your work directly influences business decisions and product features, not just "IT tickets." Innovation: Be a key player in building the data foundation for the next generation of Smart TV and Mobile streaming experiences. Equal Opportunity Statement OneD is committed to diversity and inclusivity in the workplace.