Azure Data Engineer (1385)

Role Objectives

• These roles will be part of the Data Strategy team spanning across the SMBC Capital Markets and Nikko securities teams, SMBC Americas Division’s broker-dealer and swap-dealer entities.
• These roles will be involved in the active development of the data platform in close coordination with the SMBC team, beginning with the establishment of a reference data system for securities and pricing data, and later moving to other data domains.
• The consulting team will need to follow internal developments standards to contribute to the overall agenda of the Data Strategy team.
• The implementation of this strategic platform on SMBC’s Azure Cloud Platform will require solutions and know-how as listed in the qualifications below.

Qualifications and Skills

• 10+ years of experience in software development using Python, PySpark and its frameworks.
• Proven experience as a Data Engineer/Data Quality Engineer with experience in Azure cloud.
• Experience implementing solutions using -
  
  • Azure cloud services
  • Azure Data Factory
  • Azure Lake Gen 2
  • Azure Databases
  • Azure Databricks
  • Data Quality Framework/Solution
  • Collibra Data Quality or any Data Quality tools (IDQ/IBM/Ab-Initio)
  • Collibra Data Governance and Data lineage knowledge.
  • Power BI
• Well versed with Azure Databricks
• Strong SQL skills with RDMS or noSQL databases
• Familiarity with the DevOps lifecycle (git, Jenkins, etc.), CI/CD processes
• Good understanding of ETL/ELT processes
• Experience in financial services industry, financial
• instruments, asset classes and market data are a plus.