Azure Data Engineer

• Posted 1 day ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Capital Market
  • Collaboration
  • Reference Data
  • Securities
  • Pricing
  • Software Development
  • Python
  • PySpark
  • Cloud Computing
  • Data Quality
  • IDQ
  • IBM
  • Ab Initio
  • Data Governance
  • Microsoft Power BI
  • Microsoft Azure
  • Databricks
  • SQL
  • RDMS
  • NoSQL
  • Database
  • DevOps
  • Git
  • Jenkins
  • Continuous Integration
  • Continuous Delivery
  • Extract
  • Transform
  • Load
  • ELT
  • Financial Services
  • Finance
  • Market Analysis

Summary

RESOURCE TYPE: W2 Only
LOCATION: Hybrid - Charlotte, NC
Experience Level: Senior (10+ Years)

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.

#LI-NG1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sharpdec
  • Position Id: 53357
  • Posted 1 day ago
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