Data Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

WHAT YOU'LL DO

Organizations that deliver excellent customer experiences will realize true business impact through better operating efficiencies, improved customer loyalty, and growth. The Customer Experience (CX) Transformation and Technology Group (TTG) organization accelerates our customers’ success and generates profitable growth for Cisco and our partners, by delivering the best Customer Experience in the industry.

Cisco’s CX TTG Americas team is hiring a customer-facing Data Engineer to accelerate predictive modeling and analytics in Cross-Domain solutions. The vision for the team is to use the best in class analytics products to accelerate the delivery of solutions to drive growth and customer adoption, while also looking to the future for fee-based analytics products for our customers.

As a Data Engineer you will craft the overall future of CX analytics and insights, collaborating with cross-disciplinary teams. You will make an impact while solving relevant problems and crafting new design patterns and paradigms. Join our outstanding CX team, and you'll get to work with some of the best and experienced.

JOB RESPONSIBILITIES:

• Collaborate as part of the Technology and Transformation Cross-Domain team to define and deliver standard methodologies for analytics solutions in cross domain projects.
• Synthesize customers’ business needs and feedback into clear concise requirements
• Work closely with accounts and customers to understand and validate use cases like Cisco Mobility Network Analytics, 5G Network Slicing, Network Assurance and expand to other domains like Enterprise Datacenter
• Partner closely with data scientists and architects to craft and deliver scalable data models
• Develop and deliver insights and recommendations based on data for our customers and partners
• Build thoughtful and well-structured concept models and prototypes
• Work cross-functionality on executing our analytics services roadmap
• Partner with CX Product Management and delivery teams to ensure a scaled offer is validated for the Americas’ market.

WHO YOU ARE

You have experience with identifying a business problem and solving it through data driven insights. You have built requirements to improve data gathering for analytic purposes and have experience supporting and leading all aspects of Functional Data Engineering strategy, Data Integration and Reporting, and building the Data Visualization(s).

You are highly motivated, self-starter, willing to continually learn new solutions, platforms, and work in a fast-paced environment

QUALIFICATIONS

• Experience providing insight to develop business intelligence
• Ability to convey your ideas to a wide variety of key partners
• Must be self-motivated, a good communicator, comfortable taking direction and able to balance excellent design with meeting short deadlines
• Understanding of Big Data / Hadoop / Spark / Kafka
• Design highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring.
• Experience with DB: TimeScale / Postgres / NoSQL / Mongo

EXPOSURE TO 5 OF THE FOLLOWING SKILLS:

• Regression (Linear, Decision Tree …)
• Classification / MLP / DL NN / RNN LSTM / Clustering / PCA
• Filter Methods / Wrapper Methods / Hyper Parameter Search / Cross Validation / Multivariate Time Series Analysis / Trend Analysis / Anomaly Detection
• 5+ year successful track record in Python and/or Ansible and/or another programming language
• Experience with Git / CI/CD pipelines
• Experience building dataflows and datasets from multiple source systems
• Experience building recipes to clean, transform & combine data
• Proficient in Dashboard development, including both desktop and mobile optimization, utilizing Grafana/Tableau/similar tools
• Experience leading Data Engineering/Data Migration projects
• Customer success knowledge preferred as well as familiarity with advance analytics and machine learning topics
• Good written and verbal communication, and comfortable communicating findings to exec level audience and translating data into understandable documents

PREFERRED

• Skills for storytelling with data in form of visuals
• Experience with Data collection – SNMP / Rest API / Syslog / TextFSM
• Certification in Machine Learning / Data Engineering / Data Science
• Knowledge of AIOps / MLOps
• Experience with App Dynamics / Application Performance Management (APM) Solutions
• Experience in performance optimization of visualizations built on large datasets and interpreting important metrics
• Experience with CUDA (Compute Unified Device Architecture)
• 3 years of Agile / Scrum experience
• Domain knowledge of data systems Services and Telemetry is helpful
• DevNet Associate / Professional / Specialist certification.