Data Platform Engineer: Pipelines, Cloud & Governance

JOBSTER PRIVATE LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

JOBSTER PRIVATE LTD. is seeking a skilled Data Engineer to design, develop, and maintain scalable data platforms and pipelines in a Singapore-based environment.

You will collaborate with data scientists, analysts, application teams, cybersecurity teams, and business stakeholders to ensure accurate, secure, and governed data accessible to authorized users. The role emphasizes cloud technologies and Singapore public-sector data governance requirements.

Qualifications

• Degree or diploma in Computer Science, Information Technology, Data Engineering, Engineering, Mathematics, Statistics, or a related discipline.
• 3-6 years of relevant experience in data engineering, data platform development, ETL/ELT, or a related technical role.
• Strong programming skills in Python, Java, Scala, or a similar language.
• Strong SQL skills and experience with relational databases.
• Hands-on experience designing and implementing data pipelines and data integration solutions.
• Experience with data warehousing, data lakes, or modern data platforms.
• Experience with cloud technologies and/or enterprise data platforms.
• Understanding of data security, data governance, and data quality principles.
• Strong analytical, problem-solving, and troubleshooting skills.
• Good written and verbal communication skills.

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines for structured and unstructured data.
• Build and optimize data ingestion, transformation, integration, and processing workflows.
• Develop scalable data platforms, data warehouses, data lakes, and/or lakehouse solutions.
• Integrate data from APIs, databases, enterprise applications, files, and other source systems.
• Implement automated data validation, quality checks, monitoring, and reconciliation processes.
• Optimize data pipelines and queries for performance, scalability, and cost efficiency.
• Develop reusable data engineering components and establish coding and development standards.
• Monitor production data pipelines and resolve incidents within agreed service levels.
• Perform root-cause analysis and implement preventive measures for recurring issues.

Skills

Python

SQL

ETL/ELT

Data pipelines

Cloud platforms

Education

Bachelor's degree in Computer Science / IT / Data Engineering

Tools

Spark

Airflow

Kafka

Databricks

Snowflake

Job description

JOBSTER PRIVATE LTD. is seeking a skilled Data Engineer to design, develop, and maintain scalable data platforms and pipelines in a Singapore-based environment.

You will collaborate with data scientists, analysts, application teams, cybersecurity teams, and business stakeholders to ensure accurate, secure, and governed data accessible to authorized users. The role emphasizes cloud technologies and Singapore public-sector data governance requirements.