Mar 26, 2020

Data Engineer

  • Professional Diversity Network
  • Blue Ash, OH, USA
Full-Time Engineering

Job Description

Position Summary

Accountable for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Demonstrate the companys core values of respect, honesty, integrity, diversity, inclusion and safety.

Essential Job Functions

Draft architectural diagrams, interface specifications and other design documentsPromote the reuse of data assets, including the management of the data catalog for referenceAnalyze technology environments to detect critical deficiencies and recommend solutions for improvementContribute to the development of cost/benefit analysis for leadership to shape sound architectural decisionsDefine high-level migration plans to address the gaps between the current and future stateLeverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platformsEnsure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51Leverage enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses

Minimum Position Qualifications

4 years successful and applicable hands on experience in the data development and principles including end-to-end design patterns4 years proven track record of delivering large scale, high quality operational or analytical data systems4 years of successful and applicable experience building complex data solutions that have been successfully delivered to customersExperience in two of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database managementExcellent oral and written communication skills

Desired Previous Experience/Education

Any experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)Any direct experience with a variety of SQL, NoSQL and Big Data PlatformsAny direct experience with data science solutions or platforms Bachelor's Degree in Computer Science or in a STEM major



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