Senior Data Engineer – Azure Databricks

Billigence

India
**
Azure databricks
Delta lake architecture
Build and optimise data pipelines
** Billigence is seeking a Senior Data Engineer with expertise in Azure Databricks to support a significant data platform modernization project for a global financial services client. The role involves building and optimizing data pipelines and collaborating with global teams to establish best practices in data engineering. This position is remote, beginning as a 6-month contract with the possibility of extension. **

Job Summary

  • Billigence is looking for an experienced Senior Data Engineer based in India to support the delivery of scalable enterprise data pipelines as part of a distributed global engineering team.
  • The role will focus on building pipelines that ingest accounting and operational data from the client’s back-office provider and exposing curated datasets through Databricks SQL and APIs.
  • This role will begin as a 6-month contract, with a strong likelihood of extension based on performance and project requirements.

Matching Summary

Match Score: 75

** Billigence is seeking a Senior Data Engineer with expertise in Azure Databricks to support a significant data platform modernization project for a global financial services client. The role involves building and optimizing data pipelines and collaborating with global teams to establish best practices in data engineering. This position is remote, beginning as a 6-month contract with the possibility of extension. **

Skills & Requirements

Must-have

  • Azure Databricks
  • Delta Lake architecture
  • build and optimise data pipelines
  • ETL/ELT frameworks
  • SQL and enterprise data systems

Nice-to-have

  • work effectively in distributed global teams
  • modern cloud data platforms
  • Financial Services experience beneficial

Key Requirements

  • Strong experience as Data Engineer or Senior Data Engineer
  • Hands-on experience with Azure Databricks
  • Strong understanding of Delta Lake architecture
  • Experience with Azure Synapse, Spark
  • Strong SQL experience
  • Experience building data pipelines and ETL/ELT frameworks
  • Ability to work effectively in distributed global teams

Work Rights

Not specified

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