
Data Analytics Engineer
This is the Invention Age and this is where you come in. Responsibilities include the following:
- The candidate should have the ability to collect and analyze modem data from LTE/5GNR devices - quantify performance and characterize user behavior.
- Analyze RF Front-End (RFFE) and modem power data and suggest optimizations for Qualcomm chipset platforms
- Contribute to Car-to-Cloud (C2C) analytics system design and development
- Collaborate with Qualcomm standards team for enhancing Cellular V2X (C-V2X) specifications
- Running extensive data and visual analytics on automotive and modem chipset data.
- Developing modem analytics dashboards providing insights into the performance of devices/vehicles and usage of advanced connectivity features
1+ years experience with Programming Language
Strong understanding of 3GPP protocol standards, integration and verification, call processing, and data networks a plus
Experience in design, development, testing, and evaluation of cellular (LTE/5GNR) systems and devices
Masters of Computer Science or equivalent experience preferred
Python
Java
C++
Tableau
Qlik
AWS
NumPy
Pandas
MS Azure
C programming skills
RF Front-End (RFFE)
Cellular V2X (C-V2X) standards and technologies
Multitasking
Process Improvement
Detail Oriented
Communication Skills
Problem-Solving
According to JobzMall, the average salary range for a Data Analytics Engineer in 5775 Morehouse Dr, San Diego, CA 92121, USA is between $72,335 and $140,428. This range is based on the salaries of Data Analytics Engineers in the area, which are determined by the overall cost of living, the job market, and the experience and qualifications of the Data Analytics Engineer.
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Qualcomm Incorporated is an American multinational semiconductor and telecommunications equipment company that designs and markets wireless telecommunications products and services.

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