Data Engineer

4 days ago


Singapore NTT SINGAPORE PTE. LTD. Full time

**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**

**Responsibilities**
- 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.


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