Senior Data Engineer - Data Marts & Real-Time Pipelines

Unchain Data

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Learning & Development subsidies
Team building programs

Job summary

OKX is expanding its Data Engineering team in Singapore to design, build, and maintain analytics-ready Data Marts. You will partner with analytics and business teams to deliver trusted datasets and architect resilient pipelines for both batch and real-time data on cloud infrastructure.

Strong SQL/NoSQL skills and end-to-end data solution experience are essential. Ideal candidates have a CS degree and 7+ years in data engineering, with hands-on expertise in Spark, Flink, and modern big data

Qualifications

  • Bachelor's Degree in Computer Science or related field.
  • 7+ years of experience in Data Engineering with focus on Data Marts.
  • Strong experience with Spark and Flink.
  • Experience building batch and streaming data pipelines.
  • Strong SQL and NoSQL knowledge, including performance tuning.

Responsibilities

  • Design, build, and maintain analytics-ready Data Marts using dimensional modeling.
  • Collaborate with analytics and business teams to deliver trusted datasets.
  • Create resilient data pipelines for batch and real-time data.
  • Architect cloud-based data infrastructure using standard tools.
  • Ensure data quality and scalability through data standards and monitoring.
  • Identify opportunities to improve products and services through data insights.

Skills

Spark
Flink
SQL
NoSQL
Data pipelines
Batch processing
Streaming data

Education

Bachelor's in Computer Science

Tools

Datawind
Ali Cloud DataWorks
MaxCompute
AWS Databricks
Hadoop
Hive
Spark
HBase

Job description

OKX is expanding its Data Engineering team in Singapore to design, build, and maintain analytics-ready Data Marts. You will partner with analytics and business teams to deliver trusted datasets and architect resilient pipelines for both batch and real-time data on cloud infrastructure.

Strong SQL/NoSQL skills and end-to-end data solution experience are essential. Ideal candidates have a CS degree and 7+ years in data engineering, with hands-on expertise in Spark, Flink, and modern big data

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