Data Engineer - Level 2

Candidates MUST be local to Cincinnati. Interviews will be onsite, and they will be working a hybrid schedule in the office 2-3 dayweek.Candidates should be eligible to work for any employer in the United States without needing Visa sponsorship.Job DescriptionAccountable 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 the Sister Company, where needed.2+ years' experience with automation production systems (Ansible Tower, Jenkins, Puppet, or Selenium)Working knowledge of databases and SQL Experience with software development methodologies and SDLC Candidate possess a problem-solving attitude and can work independentlyMust be very organized, able to balance multiple priorities, and self-motivatedKey ResponsibilitiesExperience in administration and configuration of API Gateways (e.g. ApigeeKong) Apply cloud computing skill to deploy upgrades and fixesDesign, develop, and implement integrations based on use feedback.Troubleshoot production issues and coordinate with the development team to streamline code deployment.Implement automation tools and frameworks (CiCD pipelines).Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products.Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security.Deliver quality customer service and resolve end-user issues in a timely mannerDraft architectural diagrams, interface specifications and other design documentsParticipate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategyInnovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolioDrive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical usesDrive 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 platformsDefine high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processesLead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvementMentor team members in data principles, patterns, processes and practicesPromote the reuse of data assets, including the management of the data catalog for referenceDraft and review architectural diagrams, interface specifications and other design documents

Created: 2024-10-28