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Lead Data Engineer

Company: Met Life
Location: Cary
Posted on: August 14, 2019

Job Description:

Job Location: United States : North Carolina : Cary Role Value PropositionMetLife's Employee Experience organization is seeking an experienced Data Engineer to evolve the Employee Experience Data ecosystem. In collaboration with enterprise partners, the candidate would lead the design and delivery of a modern data platform to support common data workloads including business intelligence, data warehousing, data analytics, data science and online operational data stores. In concert this data solution will enable MetLife Employee Experience to derive new insights that drive productivity, collaboration and organizational efficiency. Key Responsibilities

  • Establish and deliver an end to end data architecture to support Employee Experience and Human Resource data requirements
  • Collaborate with various enterprise partners to implement a new data platform to support Warehousing, Analytic and Operational data needs
  • Perform analysis on current state data solutions to identify gaps in current data solutions and ensure proper design of new data model and solutions
  • Translate complex business requirements into technical design and seeing it through development, testing and implementation lifecycles
  • Research data and analytical technologies that can drive innovation and efficiency across the Employee Experience
  • Possess breadth of knowledge across a diverse set of technology domains (i.e. Application, databases, middleware, OS, BI Tooling, etc)Essential Business Experience and Technical SkillsRequired:
    • 6+ years of experience architecting and implementing end to end data solutions including data platforms, data models, data integrations and data access
    • Experience with modern data architectures (Data Lake, Data Warehouse, etc) and strategies and applying them to solve business needs
    • Exposure to one or more of the following Big Data technologies including HDFS, Spark, Hive, HBase, Titan, MongoDB and others
    • Exposure to Business Intelligence environments including data integration(ETL), data warehouse, data marts and Business Intelligence and analytical tooling
    • Experience programming in one or more of the following languages including Python, SQL, PL/SQL, .NETPreferred
      • Employee Experience and Human Resources industry experience
      • Familiarity with Cloud platform technologies, particularly Azure including Azure Data Bricks, Azure CosmosDB and Azure Data Factory
      • Experience as a data analyst, data scientist or quantitative researcher with a proficiency in statistical and mathematical modeling methods
      • Experience with predictive modeling including model construction, model testing and model deployments
      • Familiarity with Jupyter or Zeppelin Notebooks for collaborative data analytics
      • Exposure to Data Science, Predictive Modeling, Machine Learning and Artificial Intelligence and how to apply to achieve business results
      • Experience designing various types of data models (relational, star schemas, document, columnar) with a foundational understanding of when to apply each
      • Experience with data governance and data cataloging solutions such as Collibra
      • Experience working with relational database technologies including Oracle and SQL Server
      • Experience working in an Agile environment
      • Experience working with continuous integration, continuous testing and continuous delivery tooling (TFS)At MetLife, we re leading the global transformation of an industry we ve long defined. United in purpose, diverse in perspective, we re dedicated to making a difference in the lives of our customers. MetLife is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is MetLife's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.MetLife maintains a drug-free workplace.For immediate consideration, click the Apply Now button. You will be directed to complete an on-line profile. Upon completion, you will receive an automated confirmation email verifying you have successfully applied to the job.Requisition #: 110262 Associated topics: data analyst, data architect, data engineer, data integrity, data management, data scientist, data warehousing, database administrator, etl, mongo database Associated topics: data analyst, data architect, data engineer, data integrity, data management, data scientist, data warehousing, database administrator, etl, mongo database

Keywords: Met Life, Cary , Lead Data Engineer, Engineering , Cary, North Carolina

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