Data Engineer

ARYAN SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

ARYAN SOLUTIONS PTE. LTD. in Singapore is seeking a data engineer to build and optimize scalable data pipelines using cloud technologies.

You will work with PySpark, AWS, and modern data tooling to deliver reliable data processing, tests, and interfaces for stakeholders across multiple streams.

The role emphasizes strong coding practices, collaboration, and driving architectural decisions in a fast-paced environment.

Qualifications

• Formal training or certification in data engineering concepts, together with applied experience.
• Recent hands-on professional experience as a data engineer.
• Experience coding in a recent version of Python.
• Hands-on experience with AWS, SQL, PySpark, Apache Iceberg, dbt and Apache Airflow.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and data pipeline orchestration tools.
• Experience managing large volumes of data and optimising data processing.
• Understanding of event-based architecture, data streaming and messaging frameworks.
• Experience designing and implementing effective software tests.

Responsibilities

• Build and maintain data pipelines using cloud technologies and distributed systems.
• Work with data transformation frameworks and pipeline orchestration tools.
• Manage large volumes of data and optimise data processing.
• Design and implement effective tests, including unit, component, integration, end-to-end and performance tests.
• Coach team members on coding practices, design principles and implementation patterns that produce high-quality, maintainable solutions.
• Manage stakeholders and prioritise work effectively across multiple workstreams.

Skills

AWS

SQL

PySpark

Apache Iceberg

dbt

Apache Airflow

Education

Formal training or certification in data engineering concepts

Job description

Must-have technical skills AWS, SQL, PySpark, Apache Iceberg, dbt and Apache Airflow.

Key Responsibilities

• Build and maintain data pipelines using cloud technologies and distributed systems.
• Work with data transformation frameworks and pipeline orchestration tools.
• Manage large volumes of data and optimise data processing.
• Design and implement effective tests, including unit, component, integration, end-to-end and performance tests.
• Coach team members on coding practices, design principles and implementation patterns that produce high-quality, maintainable solutions.
• Manage stakeholders and prioritise work effectively across multiple workstreams.

Requirements

• Formal training or certification in data engineering concepts, together with applied experience.
• Recent hands-on professional experience as a data engineer.
• Experience coding in a recent version of Python.
• Hands-on experience with AWS, SQL, PySpark, Apache Iceberg, dbt and Apache Airflow.
• Experience with cloud technologies and distributed systems.
• Experience with data transformation frameworks and data pipeline orchestration tools.
• Experience managing large volumes of data and optimising data processing.
• Understanding of event-based architecture, data streaming and messaging frameworks.
• Experience designing and implementing effective software tests.