Position Description:
Be a part of the digital transformation in the global metals supply chain. Joseph T. Ryerson & Son, Inc., a leader in the metals processing and distribution service center industry, is expanding its Data Warehouse group to add a Cloud Data Engineer to expand our cloud data capabilities. Your strategic responsibilities will include participating with developing and supporting cloud data structures (Azure/AWS) with a focus on enabling the Power BI applications that drive analytics and reporting for the Company.

The Ideal Candidate Possesses the Following Qualities:

* Strong quantitative and logical thinking skills combined with the ability to think creatively, envision relationships between data, and communicate those findings to key decision makers.
* Proven technical capabilities for developing, implementing and tuning cloud data structures used within modern BI systems and platforms.
* Demonstrated ability to quickly learn and understand new software products and concepts, including ability to self-instruct using available texts and other resources.
* Excellent organizational skills with emphasis on ability to organize tasks, manage multiple projects, create and maintain documentation, prioritize work and meet deadlines with minimal direct supervision.
* Excellent communication and interpersonal skills; ability to interact across multiple departments and levels within a medium to large size enterprise.
* Ability to work independently or with minimal instruction.

Professional and Technical Responsibilities Include:

* Identifying, creating, preparing data required for modern BI solutions.
* Designing, coding and testing data repositories needed to support software modules/applications.
* Building BI solutions using existed cloud provided services.
* Creating and documenting the tests to meet requirements.
* Deploying BI solutions into cloud environments and integrating them with other components in the application.
* Maintaining, tuning and adapting applications to keep them performing to specifications.
* Work with data from all business disciplines (Materials, Customers, Vendors ...) at all business levels (local, regional, corporate).
* Work with people from all business disciplines (Supply Chain, Sales, Operations, IT, ...) at all business levels (local, regional, corporate). This includes outside technical consultants when appropriate.
* Gather and document requirements for projects and reports as well as generate business user training materials including direct communication with internal and external stakeholders.
* Actively participate in the data collection, testing and validation for newly created and existing data sources as well as facilitate the data quality scorecards for same.
* All other duties as they are assigned.

Position Requirements:
* Bachelor's or Master's degree in Computer Science, Analytics or Information Technology / Systems strongly preferred; degrees in quantitative majors such as Statistics, Applied Mathematics, Industrial Engineering, Supply Chain, Economics, Accounting, Finance or similar will be considered.
* Five (5) or more years of relevant technical or highly analytic business experience, with two (2) or more years in leading role supporting Cloud Data development.
* Experience in data engineering and cloud data processing services (AWS, Azure and/or Google Cloud Platform).
* Knowledge of SQL, Python, and other similar languages is preferable.
* Good understanding of ETL tools and related data movement concepts.
* Advanced level abilities in ad hoc analysis tools such as Microsoft Excel, including knowledge of pivot tables, v-lookups, and query writing to collect, transform and evaluate data to provide actionable information.
* Interest or experience in Big Data technologies (Hadoop, Spark, Data Bricks, Snowflake).
* Open mindset, ability to quickly adapt new technologies and learn new practice.
* Infrequent travel may be required.


About Our Team:

Ryerson IT Analytics is part of the office of the Chief Data Officer and supports key decision-makers across the company. Our toolset includes best-of-breed software such as Salesforce.com, Microsoft PowerBI, Azure Analytics, IBM Cognos, Oracle, SAP, and Informatica MDM 360, in addition to in-house resources for custom application development. We are proud to employ a diverse team of analysts and developers as we help build and maintain the systems that drive Ryerson's business.