Data Engineer

This is a fully remote position, open to applicants in Singapore.

📋 Description

• Create, develop, and sustain scalable, fault-tolerant data pipelines (both batch and/or streaming) for essential business and product data.

• Acquire data from a variety of sources, including APIs, databases, event streams, and third-party services, while ensuring high standards of data quality and reliability.

• Design and oversee data models and storage frameworks (data warehouses, data lakes) that facilitate analytics and subsequent use cases.

• Collaborate with analytics, product, and engineering teams to provide clean, well-documented datasets that empower self-service analytics and experimentation.

• Establish monitoring, logging, and alerting mechanisms to guarantee the reliability, performance, and cost-effectiveness of pipelines.

• Uphold data governance best practices, encompassing access control, privacy, documentation, and data lineage.

⛳️ Requirements

• At least 3 years of experience in a Data Engineer role, data-intensive Backend Engineer position, or a comparable role.

• Proficient programming skills in Python and/or TypeScript, alongside strong SQL capabilities.

• Solid understanding of data modeling, ETL/ELT processes, and analytics workflows.

• Practical experience with data warehouses (e.g., BigQuery, Snowflake).

• Proven experience in constructing and managing production data pipelines.

🏝️ Benefits

• Develop and manage data systems that function at a significant scale.

• Engage in high-impact, business-critical data use cases.

• Enjoy a high-ownership role characterized by autonomy and trust.

• Experience a flat organizational structure where execution and results are prioritized over titles.

• Receive competitive compensation along with robust growth opportunities.