Software cum Data Engineer — AMK

COMBUILDER PTE LTD

Singapore

On-site

SGD 60,000 - 120,000

Full time

5 days ago
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Job summary

COMBUILDER PTE LTD is seeking a capable Data Engineer to design, develop and maintain data solutions.

You will build scalable data pipelines, integrate data from multiple sources, and collaborate with cross-functional teams to deliver reliable analytics.

The role requires strong Python/Java, SQL skills, ETL/ELT experience, API development, and knowledge of cloud technologies in a fast-paced Singapore environment. Excellent problem-solving and communication are essential.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related discipline.
  • Proven software development or data engineering experience.
  • Strong programming skills in Python, Java; SQL proficiency.

Responsibilities

  • Design, develop, and maintain software applications, backend services, and data solutions.
  • Develop and maintain scalable data pipelines and ETL/ELT processes.
  • Integrate data from multiple sources and systems to support business requirements.
  • Develop and optimize SQL queries, databases, and data models.
  • Build applications, scripts, and automation using Python/Java.
  • Develop and integrate APIs for connectivity.
  • Perform data validation, quality checks, and troubleshooting.
  • Implement monitoring and alerting for data pipelines and apps.
  • Optimize software, database, and data-processing performance.
  • Collaborate with stakeholders and cross-functional teams to deliver solutions.
  • Participate in full software lifecycle including testing, deployment, and maintenance.
  • Ensure data integrity, reliability, and security across pipelines.

Skills

Python
Java
SQL
APIs
Data pipelines
ETL/ELT
Data modelling
Cloud platforms
Analytical skills
Communication

Education

Bachelor's degree

Job description

Job Responsibilities:
  • Design, develop, and maintain software applications, backend services, and data solutions.
  • Develop and maintain scalable data pipelines and ETL/ELT processes.
  • Integrate data from multiple sources and systems to support business and operational requirements.
  • Develop and optimize SQL queries, databases, and data models.
  • Build applications, scripts, and automation solutions using Python, Java, or other relevant programming languages.
  • Develop and integrate APIs for application and data connectivity.
  • Perform data validation, quality checks, and troubleshooting to ensure data accuracy and reliability.
  • Implement monitoring and alerting for applications, data pipelines, and data processes.
  • Optimize software, database, and data-processing performance.
  • Collaborate with stakeholders and cross-functional technical teams to understand requirements and deliver effective solutions.
  • Participate in software development, testing, deployment, debugging, and ongoing maintenance.
  • Ensure data integrity, reliability, and security across applications and data pipelines.
Job Requirements:
  • Singapore Citizens only.
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
  • Proven experience in software development, data engineering, or a combination of both.
  • Strong programming skills in Python, Java, or similar programming languages.
  • Strong proficiency in SQL and database technologies.
  • Hands-on experience with data pipelines and ETL/ELT processes.
  • Good understanding of database design and data modelling.
  • Experience with API development and system integration.
  • Familiarity with software development practices, including testing, debugging, version control, and deployment.
  • Experience with data integration, data-processing, or analytics tools is an advantage.
  • Knowledge of cloud platforms and modern data technologies is an advantage.
  • Strong analytical and problem-solving skills with good communication and collaboration abilities.
  • Able to work independently and effectively in a fast-paced environment.
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