AI Data Engineer — Training, Growth & Impact

NCS

Singapore

Presencial

SGD 48.000 - 72.000

Jornada completa

Hace 2 días
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Descripción de la vacante

NCS is seeking an AI Data Engineer for its Data & AI team in Singapore. The role focuses on building and maintaining data pipelines, data platforms, and analytics solutions to support AI initiatives. You will collaborate with engineers, data scientists, and analysts to drive impactful data work.

The ideal candidate is a recent graduate with knowledge of SQL, Python, and data warehousing concepts, and is prepared to work in a fast-paced, collaborative environment.

Formación

  • Degree in computer science, IT, data science, engineering or related field.
  • Knowledge of SQL and Python.
  • Understanding of databases and data warehousing concepts.
  • Familiarity with Linux/Unix environments.
  • Strong analytical and problem-solving abilities.
  • Good communication and teamwork skills.
  • Recent graduates with up to 2 years of working experience.

Responsabilidades

  • Develop and maintain data pipelines and ETL/ELT workflows.
  • Build and support data integration from databases, APIs, and files.
  • Write and optimize SQL queries for data preparation, processing and reporting.
  • Assist in managing data platforms, data lakes, and data warehouses.
  • Monitor data pipelines and troubleshoot data quality issues.
  • Collaborate with business analysts, data scientists, and project teams.
  • Support CI/CD, automation, and cloud data platform activities.

Conocimientos

SQL
Python
Linux/Unix

Educación

Degree in Computer Science, Information Technology, Data Science, Engineering, or related disciplines

Descripción del empleo

NCS is seeking an AI Data Engineer for its Data & AI team in Singapore. The role focuses on building and maintaining data pipelines, data platforms, and analytics solutions to support AI initiatives. You will collaborate with engineers, data scientists, and analysts to drive impactful data work.

The ideal candidate is a recent graduate with knowledge of SQL, Python, and data warehousing concepts, and is prepared to work in a fast-paced, collaborative environment.

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