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Data Engineer | Data Platform & Analytics

6.000 SGD · período não informadoSingapore, SGhá 3 sem.

Análises de mercado

📊 Data Engineering: salários e demanda no mercado

Stack

Process Improvement and Optimisation Polars Git Oracle Data Warehouse Etl Data Ingestion Data Pipeline Log Management Software Engineering Data Quality Assurance Access Control Management Business Logic Managing 3rd party agencies

Detalhes

Práticas: CI/CD

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Descrição

Job

Responsibilities
Design, develop and maintain efficient and reliable ETL processes and data pipelines for data ingestion, transformation and integration from multiple source agencies. Develop and maintain modular, production-quality code for statistical production processes while preserving existing business logic and ensuring outputs are accurately reconciled against current production results. Support the migration, modernisation and optimisation of legacy processes to improve efficiency, maintainability and reliability.

Design and maintain database schemas, data models and storage structures to support the efficient ingestion, validation, transformation and retrieval of large datasets. Develop reusable data engineering components, including common libraries, configuration frameworks, logging standards and utilities to streamline production workflows. Implement and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment.

Manage workflows across Development, UAT and Production environments to support safe testing, deployment and synchronisation. Design and configure complex data pipeline workflows and schedules, including dependencies, failure handling, recovery and operational monitoring. Establish and maintain version control structures using GitLab, including branching strategies, merge requests, code reviews and technical documentation.

Monitor and troubleshoot data pipelines, conduct root-cause analysis and continuously im

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