Kerja Sepenuh Masa, Data Engineer di Dexian Asia Pacific - Maukerja

Seeking a Data Engineer for a temporary assignment based in Singapore. The successful candidate will support company's data infrastructure and pipeline development by designing, building, and maintaining scalable data systems that power analytics and product insights.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning use cases.
• Develop and optimize large-scale data models, schemas, and data warehouse architectures for performance and cost efficiency.
• Partner with Data Scientists, Product Managers, and Software Engineers to understand data requirements and deliver robust data solutions.
• Implement data quality frameworks including monitoring, validation, alerting, and anomaly detection to ensure data integrity and reliability.
• Evaluate and adopt best practices for data governance, privacy compliance, and data lifecycle management.

Minimum Qualifications

• 5+ years of hands-on experience in data engineering, data platform development, or a related technical role.
• Expert proficiency in SQL and experience working with large-scale data warehouses (e.g., Hive, Spark, Presto).
• Strong programming skills in Python or Java for building data pipelines and automation.
• Proven experience designing and operating production-grade ETL/ELT pipelines with workflow orchestration tools.
• Deep understanding of data modeling concepts, including dimensional modeling, star/snowflake schemas, and data vault methodologies.
• Experience with distributed computing frameworks (e.g., Spark, MapReduce) and large-scale data processing.
• Strong understanding of data quality practices, data governance, and privacy compliance requirements.
• Demonstrated ability to independently drive complex, ambiguous projects from inception to delivery.
• Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• AI influence in cloud