Data Engineer

Aryan Solutions · Python · SQL · 5 days ago
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Salary
$94k – $103k per year (gross)
Location
In office (Singapore)
Experience
5+ years exp
Employment
Full-Time

First seen by Alion on Oct 27, 2026.

Overview
Company
Impact
Profile match

Aryan Solutions

Aryan Solutions is a Singapore-based IT services firm that combines technology consulting, a small portfolio of AI products and specialist IT recruitment and contract staffing. Its openings, all advertised for Singapore, cover enterprise infrastructure, cloud, networking, data, security and application support assignments, many of them for client organisations and project programmes. It recruits network and AWS engineers, data engineers, UNIX and Linux and SharePoint specialists, application security consultants, AI solutions engineers, PMO analysts and pre-sales managers.
aryan-solutions.com · HQ: Singapore · Recruiting & Staffing · IT Consulting & Digital Transformation

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.

Skills

Cloud Technologies, PySpark, Airflow, Data Orchestration, Data Pipeline, AWS, managing large volumes of data, Quality by Design, DBT, SQL, Product Unit, Python, Amazon Relational Database Services, Integration Solution

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