Agility Partners LLC
Sr. Data Engineer Company Hidden Retail Cincinnati, OH Contract-to-Hire Develope
Agility Partners LLC, Cincinnati, Ohio, United States, 45208
Agility Partners is seeking a qualified Data Engineer to fill an open position with a leading grocer in the Cincinnati area. As a Data Engineer, you will be accountable for developing and delivering technological solutions that align with the business goals. You will analyze, design, and develop enterprise data and information architecture, emphasizing data as a valuable asset.Responsibilities: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.Benefits and Perks
Reasons to Love It:If you have experience in an agile environment and a passion for using servant leadership to deliver amazing solutions, apply to be a part of our innovative culture built on the foundation of generations of success.Hybrid work schedule.Working for an organization that focuses on company culture, inclusion and diversity.50% medical coverage for you and your entire family, short/long term disability and life insurance options.401(k).Life Insurance.The Ideal Candidate
Qualifications:7 years applicable hands-on experience in 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.
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Reasons to Love It:If you have experience in an agile environment and a passion for using servant leadership to deliver amazing solutions, apply to be a part of our innovative culture built on the foundation of generations of success.Hybrid work schedule.Working for an organization that focuses on company culture, inclusion and diversity.50% medical coverage for you and your entire family, short/long term disability and life insurance options.401(k).Life Insurance.The Ideal Candidate
Qualifications:7 years applicable hands-on experience in 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.
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