Data Engineer

 Responsiblties:

• Deliver updates and project tracking in project management software.
• Serve as the subject matter expert in data engineering.
• Support a team in the generation of data analytics, reporting, and visualizations  and decision-making platforms.
• Utilize low and no code business process automation and application development to generate business solutions.
• Provide expertise in data modeling and design (defining tables, configuring table and column properties, defining relationships, resolving many-to-many relationships, defining appropriate levels of granularity) for both operational data and analytical data.
• Build and maintaining data pipelines, integrating data, ensuring data interoperability, implementing data structures, and designing and maintaining data storage.
• Design and build data architectures consisting of models and developing standards and rules for how collected is stored, arranged, integrated, and use in data systems.
• Access and leverage structured relational data as well as semi-structured and unstructured data including big data.
• Experience in object development and design.
• Collaborate with a team to design immersive UI/UX friendly SPO modern site pages, applications, and forms.
• Apply business technologies, benchmarking, Baldridge Criteria, balanced scorecard, business intelligence dashboards, performance metrics, key performance indicators, measurement/analysis, and related concepts, principles, and practices to a program of similar size and scope.

Key Skills:

• Machine learning.
• Programming.
• Cloud computing.
• Data warehouse.
• SQL.
• Communication.
• Data pipelines.