Data Engineer

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Client is looking for a Data Engineer experienced in implementing data solutions in Azure. The Data Engineer will analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. The Data Engineer will also support the implementation of Infrastructure as Code (IaC) by working with teams to help engineer scalable, reliable, and resilient software running in the cloud

Key Responsibilities

• Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) Apply cloud computing skill to deploy upgrades and fixes
• Design, 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 (Ci/CD 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 manner
• Draft architectural diagrams, interface specifications and other design documents
• Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
• Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio
• 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