Senior Data Engineer

Kforce has a client in Naperville, IL that is seeking a Senior Data Engineer. Responsibilities:

• Creates data flow diagrams, and document source to target mapping
• Utilizes their business acumen, analytical mindset, and strong communication/people skills to extract business requirements and translates them into actionable tasks
• Maintains the data warehouse performance by optimizing batch processing through parallelization, performance tuning, aggregations, etc.
• Creates user-facing dashboards that provide key insights for its specific audience
• Recognizes and adopts best practices and cost-effective solutions in developing analytical insights on prem and in the cloud
• Provides guidance and mentors junior team members
• Keeps current with Business Intelligence data trends and technological innovations
• Executes on POC's with new technologies, drive innovation, and new ideas
• Other duties and projects as assigned
• Bachelor's degree in Finance, Computer Science, Information Systems, Operations Research, Mathematics, Statistics, or related field
• 7+ years leveraging Microsoft and its associated array of offerings (SQL, PL/SQL, SSIS, SSRS, SSAS, PowerBI, etc.)
• 5+ years leveraging AWS and its associated array of offerings (Glue, Redshift, Athena, S3, Spectrum, PySpark etc.)
• Able to collaborate with a development team with established source control (git)
• Strong understanding of data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts)
• Strong knowledge with business intelligence and data warehousing design principles and industry best practices including multi-dimensional modelling (star schemas, snowflakes, de-normalized models, handling -slow changing- dimensions)
• Ability to work with stakeholders and changing priorities
• Ability to learn and apply new technologies to business problems
• Strong communication skills both verbally and written
• Ability to work independently and in a team environment
• Ability to multitask tasks
• Expert knowledge of Python and C#
• Demonstrated ability to partner with internal product stakeholders to help define requirements and outcomes for data-focused initiatives
• Ability to decompose large problems and execute smaller, manageable bodies of work to demonstrate continuous architecture delivery
• Architects and manages scalable data pipelines across on-premises and cloud data repositories