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Data Engineer

NTT SINGAPORE PTE. LTD.

Contract D12 Balestier, Serangoon, Toa Payoh $3800 - $4500

Posted: August 19, 2025

Job Description

Introduction

Kickstart your career with NTTS’s G.L.O.W Graduate Program, the ultimate launchpad for your tech career!

G – Grow in accelerated development path

L – Lead yourself with purpose & commitment

O – Own your career journey

W – Way Forward

Our comprehensive one-year program is tailored to empower talented and driven graduates like you with valuable hands-on experience, exposure to industry experts, and a diverse range of projects that will sharpen your skills and broaden your understanding to the ICT industry.


Data Engineer

As part of our data-driven transformation initiatives, we are looking for a motivated Associate Data Engineer to join our team. This role is ideal for early-career professionals who are passionate about building scalable data pipelines, integrating diverse data sources, and enabling intelligent applications through robust data infrastructure.


Responsibilities

  • Assist in designing, developing, and maintaining data pipelines and ETL/ELT processes to support application and analytics needs.
  • Collaborate with software developers and integration teams to ensure seamless data flow between systems and applications.
  • Work with structured and unstructured data from APIs, databases, and third-party platforms.
  • Support the implementation of data models, data warehouses, and data lakes for enterprise clients.
  • Ensure data quality, consistency, and security across all stages of the data lifecycle.
  • Participate in performance tuning, monitoring, and troubleshooting of data workflows.
  • Document data engineering processes, schemas, and integration logic.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • Internship or academic project experience in data engineering, data integration, or database development is a plus.
  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
  • Familiarity with data pipeline tools and frameworks such as Apache Airflow, dbt, or similar.
  • Experience with Python or another scripting language for data manipulation.
  • Understanding of ETL/ELT concepts and data warehousing principles.
  • Exposure to cloud data services (e.g., AWS Glue, Azure Data Factory, Google BigQuery) is a plus.
  • Knowledge of APIs, JSON, and data integration techniques.
  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
  • Familiarity with data pipeline tools and frameworks such as Apache Airflow, dbt, or similar.
  • Experience with Python or another scripting language for data manipulation.
  • Understanding of ETL/ELT concepts and data warehousing principles.
  • Exposure to cloud data services (e.g., AWS Glue, Azure Data Factory, Google BigQuery) is a plus.
  • Knowledge of APIs, JSON, and data integration techniques.

How to Apply

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