Global Data Platform Engineer: Spark, Flink & Dashboards

BIPO SERVICE (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

BIPO Service (Singapore) Pte. Ltd. seeks a senior data engineering leader to drive design and development of overseas data warehouse and platform solutions across mobile, IoT, and app data domains.

You will mentor engineers, collaborate with cross-functional teams, and translate complex data requirements into scalable data products such as dashboards and reporting systems, enabling informed business decisions.

Qualifications

• Bachelor's degree or above in Computer Science, Data Engineering, or a related field.
• Minimum 4 years of experience in data engineering or data platform development.
• Strong expertise in big data technologies such as SQL, Spark, Flink, and the Hadoop ecosystem.
• Proven experience in data modeling and designing large-scale data warehouses.
• Proficient in data visualization tools and building data products like dashboards and reporting systems.
• Solid understanding of processing both structured and unstructured data.

Responsibilities

• Lead design, development, and continuous improvement of overseas data warehouse and platform.
• Architect scalable data processing systems and analytics applications.
• Design and optimize batch and real-time data pipelines with Spark and Flink.
• Define data warehouse architecture (ODS, DWD, DWS, ADS) and data governance.
• Develop data products including dashboards and reporting systems.
• Collaborate with business, product, and analytics teams to translate requirements.
• Mentor junior engineers and promote data engineering best practices.

Skills

SQL

Spark

Flink

Hadoop

Data modeling

Data visualization

Education

Bachelor's degree in Computer Science or Data Engineering

Job description

BIPO Service (Singapore) Pte. Ltd. seeks a senior data engineering leader to drive design and development of overseas data warehouse and platform solutions across mobile, IoT, and app data domains.

You will mentor engineers, collaborate with cross-functional teams, and translate complex data requirements into scalable data products such as dashboards and reporting systems, enabling informed business decisions.