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Diverse Lynx

Data Engineer

  • +2
  • +7
  • US
    Kentucky, United States
Manifester de l'intérêt pour ce poste
  • +2
  • +7
  • US
    Kentucky, United States

À propos

Job Description: The Senior Data Engineer will be responsible for the build of Enterprise Data platform. Setting up the data pipelines that are scalable, robust and resilient and build pipelines to validate, ingest, normalize/enrich and business-specific processing of healthcare data. Build Azure Data Lake leveraging Databricks technology to consolidate all data across the company and serve the data to various products and services. The scope of this role will include working with engineering, product management, program management and operations teams in delivering pipeline platform, foundational and application-specific pipelines and building the Data Lake in collaboration with business and other teams. Responsibilities

Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements Drive technology and business transformation through the creation of the Azure Data Lake Ensure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio Required Skills

10+ years working experience in Data processing 4+ years working experience in Databricks (essential) and Python Experience with Cloud / Azure architectural components Experience building data pipelines and infrastructure Deep understanding of Data warehousing concepts, reporting and Analytical concepts Experience with Big Data tech stack, including Spark, Scala, and SQL Bachelor's degree in Mathematics, Physical Sciences, Engineering or Computer Science

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

Compétences idéales

  • Azure
  • Python
  • Spark
  • Scala
  • SQL
  • Data Warehousing
  • Big Data
  • Kentucky, United States

Expérience professionnelle

  • Data Engineer
  • Data Infrastructure

Compétences linguistiques

  • English