Databricks Engineer

Overview

Lead Stack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45242

Duration: 06 months

Employment Type: Contract to Hire

Pay rate: $82/hr on W2

Top 3 skills: Azure Databricks, Python, and Spark

The Kroger team 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.

• 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.
• 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 independently
• Must be very organized, able to balance multiple priorities, and self-motivated

• Experience in administration and configuration of API Gateways (e.g. Apigee/Kong) and applying cloud computing skills to deploy upgrades and fixes.
• Ability to design, develop, and implement integrations based on user feedback.
• Ability to troubleshoot production issues and coordinate with the development team to streamline code deployment.
• Experience implementing automation tools and frameworks (CI/CD pipelines).
• Ability to analyze code and communicate detailed reviews to development teams to ensure improvements and timely delivery of products.
• Collaborative skills to improve engineering tools, systems and procedures, and data security.
• Deliver quality customer service and resolve end-user issues promptly.
• Draft architectural diagrams, interface specifications and other design documents.
• Participate in development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy.
• Mentor team members in data principles, patterns, processes and practices; promote reuse of data assets and manage the data catalog.
• Draft and review architectural diagrams, interface specifications and other design documents.

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