Data Engineer
Posted Updated
Summary
12-month rolling contract role in Singapore for a Data Engineer who designs, builds and maintains scalable data pipelines, models and integrations, plus handles production support, data quality checks and documentation. Core technologies: Python and SQL.
Data Engineer
We are looking for an experienced Data Engineer with strong
Python and SQL
skills to support the development, maintenance and production operations of data platforms and pipelines.
Key Responsibilities Work with business analysts, stakeholders and technology teams to understand business, functional and data requirements. Design, build, test and maintain
scalable data pipelines, data models and integration solutions . Source, ingest, transform and curate data from multiple internal and external systems. Translate functional and data requirements into reliable and maintainable technical solutions. Validate data logic, business rules, mappings and transformation requirements. Perform
data profiling, reconciliation, testing and root-cause analysis
to ensure data quality and accuracy. Manage system enhancements, bug fixes, production issues and change requests. Develop and maintain technical documentation, including
data flows, mappings, pipeline designs, data models and operational runbooks . Support data governance and ensure solutions comply with technology, security, risk and data standards. Perform
BAU monitoring, incident investigation, remediation and production support
for data platforms and pipelines. Monitor system and pipeline performance and identify opportunities for
automation, optimisation and improved resilience .
Requirements Degree in
Computer Science, Information Technology or a related field . At least
4 years of hands-on experience in data and application support . Strong hands-on experience with
Python and SQL . Experience working with data pipelines, data integration and data transformation. Good understanding of data quality, troubleshooting and production support. Strong written and verbal communication skills. Agile, adaptable and able to learn quickly in a changing environment.
This is a 12 months rolling contract role.
Python and SQL
skills to support the development, maintenance and production operations of data platforms and pipelines.
Key Responsibilities Work with business analysts, stakeholders and technology teams to understand business, functional and data requirements. Design, build, test and maintain
scalable data pipelines, data models and integration solutions . Source, ingest, transform and curate data from multiple internal and external systems. Translate functional and data requirements into reliable and maintainable technical solutions. Validate data logic, business rules, mappings and transformation requirements. Perform
data profiling, reconciliation, testing and root-cause analysis
to ensure data quality and accuracy. Manage system enhancements, bug fixes, production issues and change requests. Develop and maintain technical documentation, including
data flows, mappings, pipeline designs, data models and operational runbooks . Support data governance and ensure solutions comply with technology, security, risk and data standards. Perform
BAU monitoring, incident investigation, remediation and production support
for data platforms and pipelines. Monitor system and pipeline performance and identify opportunities for
automation, optimisation and improved resilience .
Requirements Degree in
Computer Science, Information Technology or a related field . At least
4 years of hands-on experience in data and application support . Strong hands-on experience with
Python and SQL . Experience working with data pipelines, data integration and data transformation. Good understanding of data quality, troubleshooting and production support. Strong written and verbal communication skills. Agile, adaptable and able to learn quickly in a changing environment.
This is a 12 months rolling contract role.