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1. MIS, Data Analytics, and other data-related fields
2. FinTech, Financial Engineering, Quantitative Finance, and other business/finance fields
3. Mathematics, Physics, and other STEM fields
Technology, Investment Banking, Insurance, Finance, Accounting, New Energy, Biotech & Healthcare, etc
Current Mainstream Positions
Master Python programming fundamentals and advanced features, while gaining in-depth knowledge of relational and non-relational databases such as MySQL, MongoDB, and Neo4J. Learn standardized database design and architecture to build strong technical foundations.
Combine lessons with hands-on exercises and mini-projects to learn by doing, quickly master key skills, and create showcase-ready technical outcomes.
Our self-developed Drill Coder platform hosts 2000+ high-frequency coding and interview questions, curated question sets, and up-to-date interview problems to help you efficiently tackle coding assessments.
Learn from experienced data engineers in North America via live English sessions, with 24/7 multi-platform support to answer your questions and ensure continuous guidance.
Receive end-to-end support including career planning, resume optimization, networking strategy, coding and behavioral interview coaching, mock interviews, and post-interview feedback to help you land your ideal job smoothly.
Utilized Airflow to process financial data by cleansing and loading datasets from AWS S3 into the Snowflake cloud data warehouse, implementing ETL workflow scheduling and monitoring.
Implemented automated scheduling with Airflow to orchestrate Snowflake in processing and modeling enterprise employee data, enabling intelligent governance of multi-source heterogeneous datasets.
Built a data tunnel with Kafka to maintain synchronization between two databases.
Constructed an ETL pipeline with Kafka to perform regular data cleansing and transformation for subsequent analysis.
Built an automated analysis and processing system for enterprise employee salary data using Spark, enabling efficient handling and in-depth exploration of large-scale salary datasets.
Designed an enterprise-level cross-cloud database migration solution on the AWS platform, enabling migration of data from traditional databases to AWS cloud databases.