Data Engineer (Spark)

IKAS INTERNATIONAL (ASIA) PTE. LTD.

Singapore, Singapore
5–10 years data engineering experience
Strong apache spark (pyspark) skills
Advanced sql query optimization
The role involves designing and maintaining large-scale data pipelines to process high-volume data efficiently

Job Summary

  • The role involves designing and maintaining large-scale data pipelines to process high-volume data efficiently.
  • Candidates must possess strong SQL skills for data transformation and query optimization on large datasets.
  • The position requires collaboration with analytics and business stakeholders to ensure data quality and reliability.

Matching Summary

Match Score: 85

The role involves designing and maintaining large-scale data pipelines to process high-volume data efficiently.

Skills & Requirements

Must-have

  • 5–10 years Data Engineering experience
  • Strong Apache Spark (PySpark) skills
  • Advanced SQL query optimization
  • Python data processing expertise
  • ETL pipeline development experience

Nice-to-have

  • Cloud platform exposure (AWS/Azure/GCP)
  • Distributed data environment experience
  • Cross-functional collaboration skills
  • Performance bottleneck troubleshooting

Key Requirements

  • 5–10 years of Data Engineering experience
  • Strong proficiency in PySpark
  • Experience with cloud platforms

Work Rights

Not specified

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