About The Position

Must have experience and proficiency in all aspects of data management data analytics solution design implementation. Data Architect / SME with strong Hands on Python PySpark Platform background. Ability to design Python PySpark logging troubleshooting observability resilience pipeline instrumentation testing frameworks. Lead Data Engineering team to speed up product delivery. Must be hands on in Data Engineering. Must be experienced in either AWS or Azure Data Analytics Visualization stack If the candidate is experienced in AWS then expected to be proficient in Azure and vice versa. Define testing strategy and reusable components. Proficiency in Asset management Asset servicing business domain is a plus.

Requirements

  • Experience and proficiency in all aspects of data management data analytics solution design implementation.
  • Data Architect / SME with strong Hands on Python PySpark Platform background.
  • Ability to design Python PySpark logging troubleshooting observability resilience pipeline instrumentation testing frameworks.
  • Must be hands on in Data Engineering.
  • Must be experienced in either AWS or Azure Data Analytics Visualization stack If the candidate is experienced in AWS then expected to be proficient in Azure and vice versa.
  • GCP Data Architecture
  • MDM Conceptual
  • Data Architecture
  • Data Lake house Architecture
  • Dimensional Data Modelling
  • Python
  • PySpark
  • AWS/Azure
  • Azure Data Analytics Visualization

Nice To Haves

  • Proficiency in Asset management Asset servicing business domain

Responsibilities

  • Lead Data Engineering team to speed up product delivery.
  • Define testing strategy and reusable components.

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What This Job Offers

Job Type

Full-time

Career Level

Principal

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

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