全职 Data Engineer (Ref 26540) 工作, 薪水 up to SGD 6,000, JOBLINE RESOURCES PTE. LTD. Islandwide (Singapore) 公司招聘中 - Ricebowl

Responsibilities

• Responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. 

• Creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. 

• You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. 

• Engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across multiple teams. 

• Query, clean, and transform datasets using SQL and Python on Databricks / Pyspark .

• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.

• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.

• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.

• Documentation & Knowledge Management

• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks

• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field. 

• At least 4-5 years of relevant working experience

• Proficiency in SQL and Python for data processing and automation.

• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.

• Familiarity with Databricks or similar big data/analytics platforms.

• Ability to produce high-quality technical documentation.

• Experience in system testing, SIT/UAT, or quality assurance processes.

• Knowledge of Spark for distributed data processing.

• Understanding of Git or other version control systems.

• Advanced proficiency in Data Engineering is required. 

• Advanced proficiency in Data Access is recommended. 

• Advanced proficiency in Data Migrations, Data Pipelines, and Data Processing is suggested.

Licence no: 12C6060