Data Engineer - Traffic Mart: Scalable Data Warehousing

Shopee

Singapore

On-site

SGD 110,000 - 150,000

Full time

17 hours ago
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Job summary

Shopee Singapore is seeking a seasoned Data Engineer to build and operate the Marketplace data warehouse end to end, covering batch and real-time ingestion, semantic layer design, and application-layer modeling for downstream consumers.

You will collaborate with product, business, and engineering teams to translate requirements into scalable data architectures that support BI reporting, self-serve analytics, and AI/ML data stacks.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • At least 3 years of data engineering experience.
  • Traffic Mart experience is advantageous.
  • Experience with Spark, Flink, Hadoop or HBase.
  • Proficiency in Java, Scala, Python, SQL.
  • Familiar with data warehouse architecture and principles.

Responsibilities

  • Build and operate the Marketplace data warehouse end to end.
  • Collaborate with product, business, and engineering teams to translate requirements into scalable data architectures.
  • Design and optimize large-scale data processing pipelines for offline and streaming platforms.
  • Lead data quality and governance efforts, including lineage tracking and SLA monitoring.
  • Evaluate emerging data technologies to evolve the platform roadmap.

Skills

Data warehousing
Data governance
Batch and real-time processing
Semantic layer design
Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Spark
Flink
Hadoop
HBase
Java
Scala
Python
SQL

Job description

Shopee Singapore is seeking a seasoned Data Engineer to build and operate the Marketplace data warehouse end to end, covering batch and real-time ingestion, semantic layer design, and application-layer modeling for downstream consumers.

You will collaborate with product, business, and engineering teams to translate requirements into scalable data architectures that support BI reporting, self-serve analytics, and AI/ML data stacks.

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