【TENG1502】Senior Data Engineer

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SHOPLINE

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Job Description

【 What You'll be Doing 】

  • Develop, operate, and monitor ETL and real-time data pipelines for data collection, cleansing, processing, storage, and analytics
  • Design and maintain data schemas, and perform database performance tuning
  • Develop backend APIs and maintain data visualization platforms for SHOPLINE merchants


【 Who We are Looking for 】

  • Fluent in Python and SQL; experience with API frameworks (Flask, FastAPI, Django) is a plus
  • Expertise in designing and developing ETL and real-time streaming jobs (Apache Airflow preferred)
  • Solid experience with real-time data processing and stream-processing systems, such as Apache Flink, RisingWave, and Apache Kafka
  • Proficient in SQL and NoSQL databases; experience with TiDB, BigQuery, PostgreSQL, MySQL, and MongoDB is a plus
  • Experience with cloud services such as AWS / GCP, especially data-related services
  • Familiar with Linux/Unix environments and containerization tools such as Docker / Kubernetes
  • It’s a plus if you have experience in the e-commerce industry and strong skills in data analysis

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