Senior Big Data Engineer

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

• 3+ years of experience as a Data Engineer or in a similar role.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.).
• Experience with Big Data tools, platforms and architecture with solid working experience with SQL.
• Experience working in a very large data warehousing environment, Distributed System.
• Solid understanding on various data exchange formats and complexities.
• Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
• Strong data visualization skills.
• Basic understanding of Machine Learning; Prior experience in ML Engineering a plus.
• Ability to manage on-premises data and make it inter-operate with AWS based pipelines.
• Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus.

Education:

• Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline.
• Preferred Qualifications: Masters in CS/ECE with a Data Science / ML Specialization.

Principal Duties and Responsibilities:

• Completes assigned coding tasks to specifications on time without significant errors or bugs.
• Adapts to changes and setbacks in order to manage pressure and meet deadlines.
• Collaborates with others inside project team to accomplish project objectives.
• Communicates with project lead to provide status and information about impending obstacles.
• Quickly resolves complex software issues and bugs.
• Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions.
• Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently.
• Participates in technical conversations with tech leads/managers.
• Anticipates and communicates issues with project team to maintain open communication.
• Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks.
• Prioritizes project deadlines and deliverables with minimal supervision.
• Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues).
• Writes readable code for large features or significant bug fixes to support collaboration with other engineers.
• Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner.
• Unit tests own code to verify the stability and functionality of a feature.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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If you would like more information about this role, please contact Qualcomm Careers.