Data Engineering Intern: Cloud Pipelines & Analytics

SATS Ltd.; Singapore; On-site; SGD 13,000 - 22,000; Full time

Job summary

SATS Ltd. in Singapore is offering a Data Engineer internship that provides hands-on experience building and optimising data pipelines, working with cloud technologies, and delivering real-world data solutions that support business decisions.

You will design ETL processes, support data integration into cloud platforms, and use SQL, Python and Azure tools to clean, transform and analyse data. Collaborate with cross-functional teams in a fast-paced environment and contribute to Databricks-based

Qualifications

• Proficiency in SQL and Python.
• Familiarity with Azure tools and services (Azure Data Factory, Azure Function, Azure App Service, Azure SQL, Cosmos DB, Blob Storage).
• Understanding of ETL processes and cloud data platforms.
• Strong analytical and problem-solving skills.

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 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

Data analysis

Tools

Azure Data Factory

Azure Function

Azure App Service

Azure SQL

Azure Cosmos DB

Azure Blob Storage

Databricks

Job description

SATS Ltd. in Singapore is offering a Data Engineer internship that provides hands-on experience building and optimising data pipelines, working with cloud technologies, and delivering real-world data solutions that support business decisions.

You will design ETL processes, support data integration into cloud platforms, and use SQL, Python and Azure tools to clean, transform and analyse data. Collaborate with cross-functional teams in a fast-paced environment and contribute to Databricks-based