Data Engineering Intern: ETL Pipelines & Cloud Analytics

re-zoo-me; Singapore; Hybrid; SGD 13,000 - 20,000; Part time

Job summary

SATS Ltd. invites applications for a Data Engineer Intern to join our analytics team in Singapore. You will build and optimize data pipelines, work with cloud technologies and contribute to real-world data solutions that drive business insights.

The role offers hands-on experience with SQL, Python, Azure data services, Databricks, and cross-functional collaboration in a fast-paced environment.

Qualifications

• Proficiency in SQL and Python.
• Familiarity with Azure tools and services (e.g., Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Azure Cosmos DB, Azure Blob Storage).
• Understanding of database systems, ETL processes, and cloud web services.
• Strong analytical and problem-solving skills.
• Ability to work independently and in a team environment.

Responsibilities

• Assist in designing, developing, and maintaining ETL pipelines.
• Support data integration from various sources into cloud-based data platforms.
• Work with SQL and Python to clean, transform, and analyse data.
• Participate in data platform and data management framework design and implementation.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Utilise Azure tools and services to deploy and monitor data workflows.
• Implement data management, processing, and analytics tools on Databricks.
• Document processes and contribute to knowledge-sharing within the team.

Skills

SQL

Python

Azure

Analytical thinking

Teamwork

Tools

Azure Data Factory

Azure Function

Azure App Service

Azure SQL

Azure Cosmos DB

Azure Blob Storage

Databricks

Job description

SATS Ltd. invites applications for a Data Engineer Intern to join our analytics team in Singapore. You will build and optimize data pipelines, work with cloud technologies and contribute to real-world data solutions that drive business insights.

The role offers hands-on experience with SQL, Python, Azure data services, Databricks, and cross-functional collaboration in a fast-paced environment.