Data Engineer (Python, SQL, Data profiling, Reconciliation and Modeling)

ASTEK SINGAPORE INNOVATION TECHNOLOGY PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Astek Singapore Innovation Technology Pte. Ltd. is seeking a Data Engineer to develop, enhance, and support data pipelines and integration solutions across the data platform.

You will cover the full delivery lifecycle from requirements analysis to production optimisation in an Agile setup. Key responsibilities include designing scalable data pipelines, transforming and curating data from multiple sources, ensuring data quality, and providing BAU support with emphasis on automation, reliability,

Qualifications

• Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions.
• Ingest, transform, and curate data from multiple sources for downstream systems and analytics.
• Translate business, functional, and data requirements into reliable and maintainable technical solutions.
• Collaborate with business analysts to validate data mappings, transformation logic, and user requirements.
• Perform data profiling, reconciliation, testing, and root-cause analysis to maintain data accuracy.

Responsibilities

• Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions.
• Ingest, transform, and curate data from multiple internal and external sources for downstream systems and analytics.
• Translate business, functional, and data requirements into reliable and maintainable technical solutions.
• Partner with business analysts to validate business rules, data mappings, transformation logic, and user requirements.
• Perform data profiling, reconciliation, testing, and root-cause analysis to maintain data accuracy.

Skills

Python

SQL

Data pipelines

Data integration

Data transformation

Data modelling

Data quality

Agile

Education

Bachelor's degree in Computer Science or Information Technology

Job description

Data Engineer - Data & Application Support

Role Overview

We are looking for an experienced Data Engineer to develop, enhance, and support data pipelines and integration solutions. The role covers the full delivery lifecycle, from requirements analysis and technical design to development, data quality, production support, and ongoing optimisation.

Key Responsibilities

Data Engineering & Development

• Design, develop, test, and maintain scalable data pipelines, data models, and integration solutions.
• Ingest, transform, and curate data from multiple internal and external sources for downstream systems and analytics.
• Translate business, functional, and data requirements into reliable and maintainable technical solutions.
• Partner with business analysts to validate business rules, data mappings, transformation logic, and user requirements.
• Perform data profiling, reconciliation, testing, and root-cause analysis to maintain data accuracy, completeness, and consistency.

Application & Production Support

• Manage application enhancements, defects, production incidents, and change requests through proper assessment, testing, and implementation.
• Provide BAU support for data platforms and pipelines, including monitoring, incident investigation, troubleshooting, and remediation.
• Monitor system and pipeline performance and implement improvements in automation, performance, reliability, and resilience.

Documentation & Governance

• Maintain technical documentation including data flow diagrams, pipeline designs, data models, mappings, interface specifications, and operational runbooks.
• Implement appropriate data governance, security, risk, and technology controls across data solutions.
• Ensure solutions comply with internal data management and technology standards.

Requirements

• Degree in Computer Science, Information Technology, or a related discipline.
• Minimum 5 years of hands-on experience in data engineering and/or application support.
• Strong hands-on proficiency in Python and SQL.
• Experience with data pipelines, data integration, data transformation, data modelling, and data quality.
• Strong troubleshooting and analytical skills, particularly within production environments.
• Good written and verbal communication skills.
• Adaptable, quick to learn, and comfortable working in an Agile environment.