Data Engineer

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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. 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.

• May lead moderately complex projects from end to end
• Drives analyses from technical design through completion
• Understands and guides others ondatabase/data lake sources and security requirements
• Ensures data is clean and in a useable and scalable format and helps others with data scrubbing and correlation methodologies
• Manages data validation and imputation techniques
• Analyzes complex datasets, unlocks patterns, and determines appropriate approaches to problem solving, reporting, and visualization
• Manages the development and scaling of data pipelines from multiple sources
• Develops and implements data architecture to store, process, analyze, and visualize large, high volume data sets
• Improves feature engineering to build innovative models to address a range of business problems
• Writes functional clean code and unit tests with no guidance
• Maintains and enhances solutions by fixing complicated errors, raising risks, and escalating issues where necessary
• Identifies immediate and larger scope problems through thorough code reviews
• Tests and reviews code to optimize scale, velocity, and reliability of deliverables
• Contributes to threat modeling ofa feature
• Applies depth of knowledge of databases, relational databases, cloud services, and scripting languages
• Ensures data quality and creates and maintains an optimal data pipeline
• Assess data compliance, fixes complex issues, and escalates multidimensional flags
• Monitors, tests, and improves metrics to optimize data pipeline quality and performance
• Partners with data scientist(s) and the business to understand, articulate, and resolve business problems and related security and privacy concerns
• Recommends optimal data sources, methodologies, analytics, and tools
• Designs and creates reporting and visualization for communicating data insights and links data to business outcomes

• Bachelor of Science degree with + 7 years of related experience in data engineer and service supply chain supply mgmt.
• Possess experience in Data quality management.
• Possess experience in Oracle and proficient in Snowflake Procedure development.

• Experience in developing ETL data pipelines.
• Experience in developing complex data models.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow…