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RESPONSIBILITIES:Kforce has a client in Tucson, AZ that is seeking a Data Engineer.
Job Responsibilities: In this role, the Data Engineer designs, builds, and oversees the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis Creates and establishes design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows and storage requirements The Data Engineer reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs Writes technical specifications for systems-level tasks, leads technical specification inspections Holds themselves to a high standard of quality and works with the broader team to ensure that the products meet those standards Works independently on multiple projects at one time, balancing needs, and deadlines Can troubleshoot problems of a complex nature. Shall support systems that he/she has not implemented Provides technical guidance and training to other team members Shares architecture formally and informally with the team and stakeholders As a Data Engineer, this role keeps informed of technical advances and proposes technology updatesREQUIREMENTS: Bachelor's or Master's degree in Computer Science desired 5+ years of experience in developing modern data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases Proven and demonstrated understanding of data warehousing in a cloud environment Expert knowledge SQL scripting Experience with Snowflake desired Experience with Mulesoft desired Proven experience with database development using a variety of relational, NoSQL, and cloud database technologies Worked with BI tools such as Tableau, Qlick , PowerBI or cloud-native ones such as Looker, QuickSight Proven knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, DWH, etc. Excellent communication skills to be able to work with business owners to develop and define key business uses and to build data sets that address them Excellent interpersonal and communications skillsKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.