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Senior Data Engineer/ Data Engineer (ETL)
  • Python
  • Spark
  • SQL
  • Linux
  • Database
  • ETL
  • Scala
  • NoSQL
  • Unix
143 days ago

  • This is a permanent role with approved headcount.
  • You will have the opportunity to work on Data Pipeline projects of World Fortune 500 company and top player in its market.

Core Responsibilities

  • Implement Extract, Transform and Load processes within data pipeline
  • Assist in improving app architectures – Explore existing systems and determine areas of maintainability, scalability and extensibility
  • Work with different data providers to integrate their data into pipeline
  • Contribute to continual improvement by identifying and incorporating new and emerging ETL technology
  • Build reusable components across different data providers

For this role, we are seeking talented individuals who matches below profile:

  • Demonstrable experience in writing / maintaining ETL pipelines
  • Experience with Python
  • Experience with SQL/ NoSQL databases
  • Experience with GNU/Linux or Unix systems
  • Strong focus on writing clean, reliable and maintainable code
  • Strong focus on test coverage and documentation
  • Fluency with Git and Github
  • Familiarity with Spark & Scala is a plus
  • Familiarity with Airflow is a plus
  • Interest or experience with functional programming languages is a plus

General Skills

  • You are entrepreneurial - you’re an independent thinker and a problem solver
  • You are effective – you use version control with git, you work fast, ship product and you get stuff done
  • You are a team player - you want to work with engineers, designers and data scientists from all over the world
  • You are adaptable - you embrace the fast paced and always changing nature of a startup
  • You are remarkable - you can show us real world examples of the amazing stuff you have built in the past
  • You are curious and a fast learner

To apply, directly apply by sending your CV to sara.sun(@) (Attn: Sara Sun) or use the 'apply' function to attach your CV in the link.

(EA: 94C3609/R1763325)

We regret that only candidate based in Singapore will be considered due to Singapore Covid19 Travel and Quarantine restrictions.

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