Data Platform Engineer: Real-Time Pipelines & Warehouse

SHOPEE SINGAPORE PRIVATE LIMITED

Singapore

On-site

SGD 90,000 - 150,000

Full time

14 days+

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Job summary

Shopee Singapore Private Limited is seeking a data engineer to build and operate the Marketplace data warehouse, covering batch and real-time ingestion and semantic modeling for downstream consumers.

You will collaborate with product, business, and engineering teams to design scalable data architectures that support BI reporting, self-serve analytics, and AI/ML data stacks. This role focuses on large-scale data pipelines, governance, and platform evolution.

Qualifications

  • Bachelor's Degree or above in Computer Science or related fields.
  • At least 3 years of data engineering experience.
  • Experience with Spark, Flink, Hadoop or HBase.
  • Knowledge of data warehouse architecture and principles.

Responsibilities

  • Build and operate the Marketplace data warehouse end to end for batch and real-time ingestion and modeling.
  • Collaborate with product, business and engineering teams to translate requirements into scalable data architectures.
  • Design and optimize large-scale data pipelines for better throughput, latency, and cost across offline/streaming.
  • Lead data quality and governance including schema standardization, lineage, and SLA monitoring.
  • Evaluate emerging data technologies (streaming engines, lakehouse, AI/ML data stacks) to evolve the platform roadmap.

Skills

Data engineering
Spark
Flink
Hadoop
HBase
Python
Java
SQL

Education

Bachelor's degree or above in Computer Science

Job description

Shopee Singapore Private Limited is seeking a data engineer to build and operate the Marketplace data warehouse, covering batch and real-time ingestion and semantic modeling for downstream consumers.

You will collaborate with product, business, and engineering teams to design scalable data architectures that support BI reporting, self-serve analytics, and AI/ML data stacks. This role focuses on large-scale data pipelines, governance, and platform evolution.

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