Data Engineer

1. Data Pipeline

• Develop and optimize ETL/ELT pipelines using modern data tools and frameworks
• Write efficient code in Python and SQL for data transformation and processing
• Implement data validation and testing frameworks
• Create automated workflows for data processing and monitoring
• Troubleshoot and resolve data pipeline issues

2. Data Warehousing

• Design and maintain enterprise data warehouse architecture
• Implement dimensional modeling and data mart solutions
• Optimize query performance and data access patterns
• Develop data documentation and lineage tracking
• Create and maintain data schemas and models
• Implement data governance and quality control mechanisms

• 5+ years of experience in data engineering.
• Bachelor's degree or higher in Computer Science, Data Engineering, or a related field.
• Advanced SQL and Python programming skills, including optimization and performance tuning.
• Strong proficiency in cloud platforms (GCP, AliCloud, AWS).
• Expertise in big data technologies (Spark, Flink, Presto, StarRocks, Data Lake, Airflow).
• Solid understanding of data warehousing concepts and best practices.
• Experience with BI tools (Tableau, Looker, Datawind).
• Knowledge of data quality frameworks and tools.
• Strong problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience in the financial services or fintech industry, particularly within the crypto/blockchain space, is a strong plus.