Data Analyst 1
kaavSan Jose (CA)
About the role
Data Engineer
Who You Are:
Data Engineers are focused on enabling a data-driven approach to optimization by sourcing, maintaining and ensuring the availability of data used to drive full lifecycle marketing insights to optimize CX's marketing investments and the customer experience. They integrate both batch and streaming approaches to support standard business intelligence, decision automation, and machine learning requirements. Data engineers ensure data is easier to manage and consume and are adept at pivoting to new technologies,
What you'll do:
- Provide leadership and support for development of an integrated Customer Experience data foundation that will enable extensive business intelligence and machine learning for CX Platform and extended user communities
- Work with CX business and IT teams to ensure high quality, on-time deliverables that meet usability, scalability, quality and performance standards
- Provide hands-on technical support for development, research, and quality assurance testing
- Apply a variety of big data technologies to ingest, transform, index, aggregate, correlate, visualize data to enable organizations across Cisco
- Analyze structural requirements for data storage solutions and software
- Design architectures for technical systems to ensure robustness, scalability, and completeness
- We are seeking high-energy and qualified candidates who possess the following skills and experience:
- Minimum: Bachelor's in Computer Science, Mathematics, Engineering, Statistics, or related field
Preferred:
Masters/PhD in Computer Science, Mathematics, Engineering, Statistics, or related field 4-6 years of experience working with extremely large datasets, ETL processing and Machine learning pipelines Minimum 3 years' experience in SQL/NoSQL requiredExperience in Python/R and Data Warehousing requiredExperience with Hadoop, Map Reduce, Spark, AWS/Azure/Cloud experience preferred Who you'll work with: You will work cross functionally with the Customer Experience, Sales, Marketing, and IT organizations, playing a leadership role in transforming Cisco by developing and implementing analytic models and intelligent automation to drive us toward a data-driven digital organization. Digital Lifecycle Journey's (DLJ) digital expertise makes us uniquely qualified to address the evolving expectations of today's connected customers and partners, along with Cisco sellers. Using real-time connected data, machine learning, and automation; the team enables Cisco sellers and partners to deliver a powerful, personalized experience-throughout the entire customer lifecycle. DLJ is focused on providing customers with an immersive digital experience with Cisco. This in turn drives improvements in recurring revenue, cost savings and sales effectiveness for Cisco and its partners.
Required Skills:
Hadoop, Python, SQLBasic Qualification :Additional Skills :Background Check : NoDrug Screen : No
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this
