Senior Data Engineer (Quantix)

About the Job: We are looking for a Senior Data Engineer to design, develop, and optimize scalable data warehouses, data pipelines, and analytical models. You will ensure data accuracy, build real-time and offline processing systems, and enable data-driven decision-making across business lines.

Key Responsibilities:

• Design and develop data warehouses, data marts, and middle platforms.
• Build stable, efficient, and scalable data pipelines for offline and real-time processing.
• Implement OLAP query models and indicator systems for analytics and business insights.
• Collect, clean, process, and store data to ensure accuracy, completeness, and timeliness.
• Optimize large-scale data processing for performance and stability.
• Contribute to the development of data platforms, quality monitoring tools, and governance systems.

Requirements:

• Bachelor’s degree or higher, with 3+ years in data development.
• Expertise in SQL, big data frameworks (Hadoop, Hive, Spark, HBase), and at least one programming language (Python, Scala, Java, Shell).
• Strong analytical skills, attention to data quality, and experience with ETL processes.
• Financial industry experience is a plus.