Requirements: Who you are and what you’ve done

📍 5+ years software engineering experience, especially working on data science and engineering projects. 📍3+ years of data engineering experience, especially working on data analytics, creating dashboards. 📍 Experience with Druid, Trino / Presto, Hive, Kafka and Superset. 📍 Experience with workflow orchestration tools such as Airflow. 📍 Experience with SQL and SQL-like languages. 📍Proficiency with at least one of the following languages: Python, Scala, R. 📍 Proficiency in writing well-tested code, including unit-testing, integration testing and end-to-end testing

Nice to have: What an ideal candidate looks like

📍 Experience with high-scale machine learning, i.e. Spark M/L, SageMaker, etc 📍Experience with CI/CD process, testing framework, and containerization technology.

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