Senior Data Engineer – Databricks

TRINITY CONSULTING SERVICES PTE. LTD.

Singapore
Minimum 8 years data engineering experience
2-3 years hands-on databricks platform
Refactoring legacy code to modern frameworks
The role requires a minimum of 8 years of experience in data engineering with a focus on building production data pipelines at scale

Job Summary

  • The role requires a minimum of 8 years of experience in data engineering with a focus on building production data pipelines at scale.
  • Candidates must have proven experience refactoring legacy code into modern frameworks while utilizing the Databricks platform.
  • This position demands strong collaboration within cross-functional teams using Agile methodologies to manage diverse data sources.

Matching Summary

Match Score: 85

The role requires a minimum of 8 years of experience in data engineering with a focus on building production data pipelines at scale.

Skills & Requirements

Must-have

  • Minimum 8 years data engineering experience
  • 2-3 years hands-on Databricks platform
  • Refactoring legacy code to modern frameworks
  • Building production data pipelines at scale
  • Working with structured semi-structured unstructured data

Nice-to-have

  • Experience with AWS Azure or GCP cloud platforms
  • Strong programming skills in Python Scala or SQL
  • Knowledge of Spark distributed data processing
  • Familiarity with Agile development methodologies
  • Understanding of data governance security compliance

Key Requirements

  • Databricks Certified Data Engineer Associate or Professional certification
  • Minimum 8 years of relevant professional experience
  • At least 2-3 years of specific Databricks hands-on experience

Work Rights

Not specified

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