• Full Time
  • Pittsburgh
    • In-Person

    • Data Science

    • Information Science

    • Master's

Thermo Fisher Scientific

A day in the Life:

  • The Data Engineer will take the ownership of the Functional Data Domain, gather business/functional knowledge
  • Their core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other customers
  • Drive the implementation of the analytical solution by working with Functional team to understand requirements, data sources and business rules; and leading the development team to build, test and deploy the solution
  • Gather knowledge of the business, functions, and their data analysis needs along with business’s relationship with the Data
  • Identify relationships across multiple source systems; and create reference data with the help of data stewards
  • Design the Dimensional Data Model, Data Engineering Pipelines, Data Quality and Validation rules based on the business requirements and rules that would include any error handing, exception management and data quality routines to expose the anomalies in the data
  • Finalize the technical Source-to-Target mapping to develop the data pipelines from source systems to the dimensional model
  • Ensure that the Unit and Integration tests complete successfully
  • Drive the QA/UAT with the Functional users and ensure a deployment to higher environments
  • Designs and jointly develops the data architecture with data architect and ensures security and maintenance
  • Identifies gaps and implements solutions for data security, quality and automation of processes
  • Supports maintenance, bug fixing and performance analysis along data pipeline
  • Diagnoses existing architecture and data maturity and identifies gaps

To apply for this job please visit jobs.thermofisher.com.