Job description for Data Engineer at VocaGame
Company Description
VocaGame is a leading SEA-based company providing innovative channel, platform, and payment solutions tailored for the gaming industry. Our offerings include Custom Commerce for Influencer Gaming, a 100% customizable web store, direct API payments integration for publisher websites, and VocaGame, a preferred destination for in-game content purchases used by over 5 million gamers across SEA. VocaGame remains committed to delivering seamless and efficient solutions for gaming enthusiasts and industry partners.
Job Responsibilities
- Build and maintain scalable data pipelines and ETL processes to support analytics and reporting.
- Manage and optimize analytical databases using ClickHouse and SQL.
- Process and transform data using Python and data transformation tools.
- Develop and maintain data models and datasets for internal analytics and reporting.
- Work closely with cross-functional teams (Operational, Product, Marketing, Business) to understand data needs and deliver insights-ready datasets.
- Enable business teams by supporting dashboard and reporting development using tools like Tableau, Looker, and Power BI.
- Monitor and optimize query performance and data workflows to ensure efficiency and scalability.
- Maintain documentation for data pipelines, datasets, and internal data structures.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, Information Systems, or other related fields.
- 2-4 years of experience in Data Engineering, Data Analytics, or a similar role.
- Strong proficiency in SQL or Python for data processing and analysis.
- Experience working with analytical databases such as ClickHouse, BigQuery, or similar.
- Familiarity with BI and visualization tools such as Tableau, Looker, or Power BI.
- Experience with Power Query or data transformation tools is a plus.
- Understanding of ETL pipelines, data modeling, and data warehousing concepts.
- Strong problem-solving skills and attention to data quality.
- Ability to work collaboratively in a fast-paced tech environment.
Nice to Have
- Experience handling large-scale or high-volume datasets.
- Familiarity with gaming, digital platform, or e-commerce data.
