Job Description The Staff Software Engineer position reports to the Manager, Enterprise BI & Reporting Engineering, and is responsible for the development and support of applications on a semantic layer, modern data lake, leveraging his/her expertise and knowledge of multiple systems/customer areas to help build a robust, scalable and reliable big data platform. He/she must have broad and deep technical understanding reporting tools such as Tableau, PowerBI, Cognos, SSRS etc. Lead team to deliver large-scale projects, set and drive enterprise reporting and data roadmap execution through resource planning and allocation.
Architect and design unified semantic layer and self-service capability in cloud (performance, reliability, monitoring, self-service). Design, test, and implement data engineering solutions for various consumers of the data. Thinking through long-term impacts of key design decisions and handling failure scenarios. Evolve platform maturity in automation, operations, stability, and support. Lead overall team in innovation of technical and business concepts and drive the test and learn mindset across the team. Building self-service platforms to power Macys cross functional teams and drive the whole organization to be data driven. Serve data models as a product to entire organization. Maintain awareness of industry trends and evaluate applicability of new software tools to platform development. Serve as a coach and mentor to more junior developers to include delegating and managing tasks, as appropriate Consistently demonstrate regular, dependable attendance and punctuality. Commit to overall deliverables with customers and/or management Perform other duties as assigned Qualifications Education/Experience: Bachelor's degree in Computer Science and/or Engineering with 10+ years of related experience or an equivalent combination of education and experience; Master's degree preferred 8+ years of experience in reporting, data modeling, data engineering, batch and stream processing technologies, data science, and related data-centric fields using large-scale data environments. 5+ years of "hands on" experience with SQL, Python, Reporting tools, dimensional data modeling, developing ETL pipelines and data manipulation scripts using SQL, and modern relational, analytical and graph databases. Good understanding of data visualization, information architecture, data architecture and data engineering within Big Data ecosystems and performing complex query analysis on the data using cloud technologies, preferably with Google Cloud Platform would be a plus. Evaluate the applicability of leading-edge technologies and use this information to significantly influence future business strategies Hands-on experience and deep technical understanding of including (but not limited to) Cognos, Tableau, PowerBI, RDBMS, NoSQL database, Google BigQuery etc. Evaluate the applicability of leading-edge technologies and use this information to significantly influence future business strategies Work independently and provides technical guidance, applying in-depth knowledge of multiple technologies, as appropriate. Provides technical leadership and mentoring to other team members. Experience working closely with cross functional analytics and Data Science teams. Experience in CI/CD, DevOps process and tools.Be a part of the ConsultNet difference. As a leading national provider of IT staffing and solutions, ConsultNet delivers exceptional services to startup, midmarket and Fortune 1000 companies across North America. Since 1996, we've partnered with clients to create rewarding opportunities for our consultants, successfully building teams that have surefire results. In the past two years alone, we have placed more than 1,500 consultants in contract, contract-to-hire, or direct placement opportunities. We understand communication is key to finding the right job that matches your skills and career goals. For us, it's not just the work that we do; it's how we do the work. Our breadth of offerings extends to multiple IT positions in major markets throughout the country, see more at www.consultnet.com
