Data Engineer - Java Backend Engineer, Kafka, Microservices, API, Oracle/Snowflake

Cisco is hiring a Data Engineer - Java Backend Engineer, Kafka, Microservices, API, Oracle/Snowflake in Bangalore.

Meet the Team: Today’s challenging business environment is more than that – it’s a period of disruption between global business change and internal process complexity. For us to focus on simplicity and the best customer experience, we need great talent and the right skillsets to be successful. This is now a mantra for our Cisco leadership team and for us. Enterprise Data & AI Enablement team is changing the way we run Cisco’s operations by improving the power of technology, the best of business processes and outstanding data insights using AI. Together, we will Reimagine the Cisco experience.

Responsibilities

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 on database/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, highvolume 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 solutionsby fixing complicated errors, raising risks, and escalating issues where necessary Identifies immediate and larger scope problems through thorough code reviews

About Cisco

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