Data Engineer (Ref 26540)

JOBLINE RESOURCES PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

JOBLINE RESOURCES PTE. LTD. is seeking an experienced data engineer to design, develop, and maintain data solutions for generation, collection, and processing.

You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems. You will lead a team, collaborate across multiple teams, and transform datasets using SQL and Python on Databricks / PySpark. Strong documentation and QA experience are required, with dashboards built to monitor performance and

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 4-5 years of relevant experience.
• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience with dashboards (Tableau/Power BI or equivalent).
• Familiarity with Databricks or similar big data platforms.
• Ability to produce high-quality technical documentation.
• Experience in testing (SIT/UAT) or QA processes.
• Knowledge of Spark for distributed processing.
• Understanding of Git or other version control systems.
• Advanced proficiency in Data Engineering, Data Access and Data Migrations.

Responsibilities

• Design, develop, and maintain data solutions for generation, collection, and processing.
• Create data pipelines, ensure data quality, and implement ETL processes for migration and deployment.
• Lead and collaborate with the team to perform effectively.
• Engage with multiple teams and contribute to key decisions.
• Query, clean, and transform datasets using SQL and Python on Databricks / PySpark.
• Ensure data quality and consistency across systems per standards.
• Build, enhance, and maintain dashboards for data monitoring and analytics.
• Partner with business stakeholders to translate data requirements into insights.

Skills

SQL

Python

Data processing

Education

Bachelor's degree in Computer Science/Engineering

Tools

Databricks

Pyspark

Tableau

Power BI

Git

Spark

Job description

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