全职 Data Engineer-SG 工作, 薪水, Pan Asia Software Solutions Central Region (Singapore) 公司招聘中 - Ricebowl

Company Description Pan Asia Software Solutions is a technology services organization that provides specialized IT consulting and staffing solutions to clients across diverse industries. The company focuses on delivering skilled professionals for data, software, and infrastructure roles to support complex business and technology initiatives. Pan Asia Software Solutions emphasizes collaborative partnerships, outcome-based delivery, and continuous learning for its teams. Professionals joining the organization can expect exposure to modern technologies, cross-functional projects, and opportunities to grow their technical and domain expertise.

Role Description The Data Engineer-SG role is a contract, on-site position based in Downtown Core. In this role, the individual designs, builds, and maintains scalable data pipelines and infrastructure to support analytics and reporting needs. Day-to-day tasks include implementing ETL processes, optimizing data workflows, managing data warehouse environments, and ensuring data quality and reliability. The Data Engineer-SG collaborates with data analysts, data scientists, and business stakeholders to understand requirements, model data structures, and deliver performant, secure solutions. The role also involves monitoring existing data systems, troubleshooting issues, and contributing to improvements in data architecture and best practices.

Experience: Minimum 1+ years to 2 years

Must - Available in Singapore

Key Technical Skills & Responsibilities

· Strong working knowledge of Python and SQL for data processing.

• Experience building ETL/ELT pipelines using industry-standard practices.
• Familiarity with cloud data platforms such as:· Snowflake
• Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
• AWS (Redshift, Glue) / Azure Data Lake / Google BigQuery
• Understanding of data modeling concepts (fact/dimension tables, star schema).
• Experience or exposure to orchestration and transformation tools such as Airflow, DBT, Spark, or Dask.
• Working knowledge of Git and CI/CD pipelines.
• Exposure to BI and visualization tools such as Power BI or Apache Superset.
• Basic understanding of cloud security, access control, and cost optimization.
• Eligibility Criteria:· Bachelor’s degree in computer science, Engineering, or a related discipline.
• Hands -on experience in data engineering or a closely related role.
• Experience supporting or maintaining production data pipelines.· Strong problem-solving skills and eagerness to learn new technologies.· Good written and verbal communication skills.
• Ability to work effectively in a collaborative team environment.

• Interested Share updated resume to ************* or Watsapp: +*************