Data Engineer Engineering - Cincinnati, OH at Geebo

Data Engineer

Position:
Data Engineer Level 2Location:
Blue Ash, OH (Can work remotely)Contract:
Long termNotes from Hiring Manager:
Anything to do with Behavioral - Click Stream or Adobe Analytics.
Would be a big help if they have this experienceBehavioral Data Analyst (Could be about customers, associates, Health and Wellness)Tracking mobile or online app, looking at what behaviors that someone does and bring it back to the client (What landing page did they go to and how long were they on that page)Experience with large amount of data, need to figure out how to make this more manageable for others to reviewThere will be a lead guiding this contractor
Job Description:
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.
7 years applicable hands on experience in the data development and principles including end-to-end design patterns 7 years proven track record of designing and delivering large scale, high quality operational or analytical data systems 7 years of successful and applicable experience taking a lead role in building complex data solutions that have been successfully delivered to customers Proven ability to think and contribute at the strategic level Demonstrated written, oral and presentation/public speaking communication skills Understanding of network and data security architecture Strong experience driving evolutionary change in data solutions and underlying technologies Knowledge in three 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 management Key Responsibilities Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement Mentor team members in data principles, patterns, processes and practices Promote the reuse of data assets, including the management of the data catalog for reference Draft and review architectural diagrams, interface specifications and other design documents Proactively and holistically lead activities that create deliverables to guide the direction, development, and delivery of technological responses to targeted business outcomes.
Provide facilitation, analysis, and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.
Develop target-state guidance (i.
e.
, reusable standards, design patterns, guidelines, individual parts and configurations) to evolve the technical infrastructure related to data and information across the enterprise, including direct collaboration with 84.
51.
Recommended Skills Api Architecture Big Data Core Data Data Analysis Data Integration Estimated Salary: $20 to $28 per hour based on qualifications.

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