Cisco Systems has an open opportunity for an engineer capable of covering Ciscos Software-Defined and automation portfolios. It is expected that the successful candidate will have wide and deep knowledge of software-defined technologies, software automation, development approaches/methodologies and would have extensive experience in developing operational models to support transitions.
You will support Ciscos large SP and Enterprise customers. As such, there is an expectation that you will have the opportunity with customers to build and complete customers' IT transformation. From early engagement with the customer collecting requirements to solution delivery and execution of the solution would follow under the charter. The role requires partners influence & leadership skills, deep technology insight, ability to collaborate among teams to drive Cisco and customer success.
You will typically be responsible for closely working with customers to understand their requirements and develop/deploy required automation solutions built around the Cisco product folio.
You will build these solutions following Cisco guidelines, standard methodologies, and well-defined processes to ensure high-quality work.
The engineer will set up a local lab environment to test and demonstrate automation solutions.
You will share his/her knowledge with other people in writing technical documents and enlarge the knowledge database.
You will provide internal and/or external technical presentations within the team and as well as with Customers.
You will bring up any specific problems to the Customer Experience (CX) leads or significant Business Units for product improvement.
You will work closely with colleagues to achieve common goals
The engineer will strive for technical excellence and expertise.
Primary job responsibilities involve supporting ingestion and transformation pipelines that handle data for analytical or operational uses across a broad line of business needs areas and enterprise data domains. The data engineer often works as a dedicated member of support teams, focused on providing production stability data processing workflows that will be used by analytics groups and data scientists who are interrogating information for predictive analytics, machine learning, and data mining purposes. In many cases, the support engineer also works with business units and departments in proactively identifying data quality issues, and coordinating with the development groups to ensure data accuracy to business analysts, leadership groups, and other end-users to aid in ongoing operational insights.
An independent & results-oriented lead support engineer must be proficient in broad approaches to data architecture and applications and will develop components/applications by studying operations and crafting, and developing, reusable services and solutions that support automated ingesting, profiling, and handling of structured and unstructured data.
Cisco Customer Experience (CX) is a team of outstanding technical specialists whose #1 focus is to help customers deploy and operate their networks efficiently while delivering the best possible customer experience. Our success is validated through outstanding financial results, growing customer happiness metrics, industry recognition, and employee happiness scores.
5-12 years of software development/programming experience in enterprise/web/cloud applications.
Exposure to functional, imperative, and object-oriented languages and methodologies.
Experience with Big Data approaches and technologies including Hadoop, Cloudera utilities, Spark, Kafka, Hive, Oozie (experience with Angular JS/HTML5/Node JS are a huge plus).
Experience with SQL (MySQL, Postgres) and NoSQL(MongoDB/HBase/ReDis) database is encouraged.
Exposure to programming languages/tools including Python, Django, Pandas, NumPy, Scala, and JavaScript
Proficiency with Linux operating systems especially fixing and log-handling of applications deployed in Linux
Experience supporting large-scale web services (RESTful APIs)
Explores examines and interprets large volumes of data in various forms and recommends additional sources of data for improvements.
Has led, or been directly involved with, the investigation and resolution of incidents and sophisticated data issues in a production setup.
Experience working in an agile environment.
Good to have an understanding of data modeling, data design, and persistence (e.g. data marts, data lakes).
Good to have an understanding of AI/ML
BE/B.Tech/ME/M.Tech/MS in Computer Science/IT/Software Systems with 5-12 years of meaningful experience
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