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Cloud Data Engineer

3 months ago

Frankfort, United States Recruiting Solutions Full time

Recruiting Solutions is seeking a

Cloud Data Engineer

for a Direct Hire opportunity with an industry leading financial services company's location in

Cincinnati, Ohio This position offers a competitive starting pay of

$100,000 to $120,000

annually, as well as a range of benefits that you could be eligible for, such as healthcare, dental, vision, 401k with match, paid time off and holidays, bonus opportunities, tuition reimbursement, and more

Benefits included:

Competitive salary Medical, dental, and vision insurance 401k with match Paid time off and holidays Bonus opportunities Tuition reimbursement And more Cloud Data Engineer Job Responsibilities:

Design & develop custom data warehouse solutions that enable leadership and analysts to make informed, data-driven decisions and address the high demand for data availability in the enterprise. Work closely with business analysts, application developers, and data scientists to deliver data-driven solutions for application and user consumption. Transform data science prototypes into reliable production ML and AI solutions. Performance tune and productionize Data Integration, ML, and AI solutions. Develop self-monitoring smoke detectors to track solution health. Responsible for creating work estimates, technical project plans, and implementation plans. Research emerging development technologies, products, and processes. Work collaboratively within an agile project team. Follow best practices and coding standards. Grow your personal skill set as well as the skills of others. Cloud Data Engineer Requirements and Qualifications:

2+ years' experience in the field and an associate degree or higher in a related area preferred. Experience designing data warehouse solutions with strong working SQL knowledge. Knowledge of databases, data structures, data management, and data manipulation. Experience creating data models and data pipelines for acquisition, cleansing, and integration. Strong experience with Microsoft SQL Server. Proficient with Databricks. Experience with C# and/or Python. Familiarity with distributed architecture is a plus. Demonstrated experience in IT concepts and practices. Experience working in a team-oriented collaborative environment. Great communication skills with a customer support orientation. Excellent problem-solving skills. Understanding of software development lifecycles and familiarity with software lifecycle management tools and source control. Additional Desired Skills:

R language knowledge Experience with Azure Analytics, Databases, Storage, and AI + Machine Learning Services Experience with SSIS or equivalent ETL Tool

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