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Senior Data Engineer

Company: Met Life
Location: Cary
Posted on: May 17, 2019

Job Description:

Job Location: United States : North Carolina : Cary
Role Value Proposition:
The Global Technology (GTS) Performance Management team provides analytic solutions and services that enable employees to make better-informed and timely business and strategic decisions. The capabilities, reports, and analysis provided by the team serves as the core data, reporting, and analytic platform for the Global Technology Organization (GTO) of MetLife.
We are seeking a Senior Data Engineer with a passion for data and governance. This dynamic and energetic individual will need a strong technology and financial management background to help drive the performance management vision, specifically centered on building out our Integrated Data Hub. Our strategic solution is designed to position executives with the ability to cross reference data sets rather than using individual data sets to support persona based analytics. The ideal candidate will possess a unique blend of business and technical acumen; a big-picture vision and the drive to make that vision a reality. This role requires development into a trusted source by close collaboration with IT and Finance professionals at all levels within the organization.
Key Responsibilities:

  • Participate within a high-performing team with requisite skills and experience to successfully execute our Performance Management Data/Analytics Strategy
  • Serves as a point of escalation for governance, data quality and protection issues and works closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements for the department
  • Translate executive vision into technical requirements; communicate technical requirements to our service providers
  • Work with our Database, ETL and Data Modeler partners to execute on our data strategy
  • Maintain accountability for our warehouse data access strategy which includes availability, efficiency and warehouse recovery within or operational standards
  • Gather functional and business requirements and translate information into logical models for data consumption through business personas
  • Collaborate to be a trusted SME with IT Executives, Service Owners, and Finance on IT Total Cost of Ownership, financial metrics, and cost transparency initiatives
  • Import, transform, and rationalize data from systems of record such as ServiceNow, General Ledger, Fixed Assets, Ariba, PeopleSoft, Apptio etc. aligned to our data governance standards and practices
  • Operationalize cadences for loading, validating, and reviewing data on timely basis Essential Business Experience and Technical Skills:
    Required
    • 3+ years SQL, SAS or Python experienc
    • Bachelor's Degree in Computer Science/Engineering or equivalent relevant experience.
    • Strong CS fundamentals and problem-solving skills
    • Experience with extract-transform-load (ETL) Tools
    • Strong experience in building scalable ETL/ELT pipelines using ETL Tools
    • Experience working with relational databases such as Oracle and SQL Server
    • Strong expertise in writing SQL code
    • Strong knowledge of data analytics and data mining
    • Solid interpersonal, influencing and communication skills - capable of motivating and leading organizations or teams to deliver desired results
    • SAFe/Agile Exposure
    • Experience in designing and building reports & visualizations using BI tools (Cognos and Power BI)
    • Broad experience in the financial services industry Preferred:
      • Broad knowledge of IT services to include technical development, financial management, project/program portfolio management and application/ infrastructure support
      • Strong business sense to strike a balance between promoting strategy and promoting consumers need
      • Business Intelligence experience (QlikView, Cognos, Power BI, ServiceNow)
      • Knowledge of Apptio and Jira a plus 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 #: 108712

        Associated topics: data analytic, data architect, data integrity, data management, data quality, data warehouse, database administrator, hbase, mongo database, sql

Keywords: Met Life, Cary , Senior Data Engineer, Accounting, Auditing , Cary, North Carolina

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