Data Engineer

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.
• 3-5 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.

Skills: Database Systems, Python, Data Processing, Microsoft SQL Server, Data Integration, ETL