Data Engineer (Cloud & Analytics Platform)

PSA Singapore
Singapore, Singapore
Salary not specified
Posted
Full-time
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Job Description

The incumbent will design, build, and maintain scalable data solutions that support analytics, machine learning, and business insights. Responsibilities include developing robust data pipelines, cloud-based data platforms, analytics solutions, and supporting AI/ML initiatives while ensuring data quality, governance, and operational excellence. Responsibilities - Design, develop, and maintain ETL/ELT pipelines across cloud and on-premise environments, integrating internal and external data sources, including compliant ingestion of public data where required. - Build, optimize, and maintain scalable data models (e.g., star and snowflake schemas) to support analytics, reporting, and business intelligence requirements. - Ensure data quality, integrity, and availability through validation, cleansing, transformation processes, and implementation of monitoring controls. - Implement and manage cloud-based data solutions on Microsoft Azure, including Azure Data Factory, Data Lake Storage, Azure SQL, and related services. - Support infrastructure configuration and administration, including compute, storage, networking, identity management, and security controls to ensure reliable and scalable platform operations. - Implement CI/CD pipelines, automate deployments, and establish monitoring, logging, and alerting capabilities to maintain performance, reliability, and SLA adherence. - Support the development and optimization of interactive dashboards and reports using Power BI, ensuring seamless integration between data pipelines and reporting layers. - Collaborate with business stakeholders to understand requirements and translate them into effective data solutions and visualizations. - Collaborate with Data Scientists to deploy, support, and monitor machine learning models in production environments and integrate AI/ML capabilities into data pipelines and applications. - Ensure adherence to data governance, security, compliance, access control, and data lineage requirements while following software engineering best practices such as version control, code reviews, and modular design. - Contribute to continuous improvement of data platform standards, operational performance, scalability, and cost optimization initiatives. Requirements - Possess a bachelor’s degree in Computer Science, Computer Engineering, or a related field. - 2-3 years of experience in data engineering, software engineering, or related roles with exposure to data platforms, cloud technologies, and analytics solutions. - Strong analytical thinking, problem-solving, and troubleshooting abilities. - Good communication and collaboration skills with the ability to work effectively across technical and business teams. - Self-motivated, detail-oriented, and able to manage multiple priorities in a dynamic environment. - Possess initiative and willingness to learn new technologies, tools, and methodologies. Technical Skills Required - Experience with data warehousing concepts, data modeling, database optimization techniques, and ETL/ELT development using Python or ETL tools (e.g., SSIS, Informatica). - Proficiency in relational database technologies such as Microsoft SQL Server and Oracle, and familiarity with big data technologies such as Spark and Databricks. - Proficiency in Python for data processing, data engineering tasks, and basic API development. - Hands-on experience with Microsoft Azure services, including Azure Data Factory, Data Lake Storage, and Azure SQL. - Familiarity with CI/CD pipelines, DevOps practices, and automation tools such as Azure DevOps. - Familiarity with streaming or real-time data processing concepts and exposure to monitoring, performance tuning, and optimization of data systems. - Experience with Power BI, including DAX and Power Query, for dashboard development and reporting. - Basic understanding of machine learning workflows and tools, including Scikit-learn and Azure Machine Learning. Only shortlisted candidates will be notified.

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