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Data Engineer

Salary undisclosed

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  • Educational Background: BS degree in Computer Science, Data Science, Applied Mathematics, Physics, Statistics, Economics, or a related quantitative field.
  • API and Microservices: Strong experience on using/creating APIs and Microservices.
  • Data Retrieval : Very proficient in using/creating crawlers/APIs to retrieve insightful data from external services.
  • Programming Proficiency: Proficient in programming languages such as Python
  • Cloud proficiency: Experience with cloud platforms (eg. AWS, Azure or GCP) and their database offerings (e.g., RDS, Cosmos DB, BigQuery).
  • Data warehouse and pipeline: Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift), knowledge of ETL and data pipeline development.
  • Work Experience: 3+ years of experience
  • Project Management Skills: Strong ability to plan and manage numerous processes, people, and projects simultaneously.
  • Communication and Collaboration: Excellent communication and collaboration
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