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General Summary:
What’s in it for you?
Qualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You will find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Qualcomm engineering teams rely heavily on the latest High-Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role provides an opportunity to work on the latest HPC technologies and gain experience in building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe.
Qualcomm’s Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications.
What are we looking for?
The Engineering Data Analytics and Applications team (EDAAP) is seeking an experienced Data Engineer with a strong programming background to design, build, and maintain large-scale data platforms and analytics systems. The EDAAP team develops software and data solutions that enable large-scale distributed analytical workloads, and data intensive applications across hybrid cloud and on prem infrastructure.
This role focuses on designing and developing robust, scalable data engineering solutions to manage and optimize data environments. Responsibilities include building and maintaining data pipelines for variety of heterogenous engineering applications, metadata management, data synchronization, and IT infrastructure telemetry. The role also involves ensuring data quality, reliability, performance, and governance across distributed systems.
The ideal candidate is an experienced software and data engineer with strong skills in python frameworks, distributed and parallel data processing, efficient algorithms and data structures, and modern data architecture patterns. Experience with task automation, workflow orchestration, scripting, and performance optimization in large scale data systems is essential. Familiarity with cloud platforms, big data technologies, end to end data lifecycle management and AI is highly desirable.
Experience:
3-5 yrs of experience in developing complex data pipelines using Python, integrating heterogenous data sources.
Skills – Data Modelling, Data Analysis, Python, Advanced SQL. No SQL DB Unix shell scripts.
Job Title: Data Engineer
Responsibilities
• Design, build, and maintain robust, scalable data pipelines and data platforms
• Develop and optimize complex SQL queries for data extraction, transformation, and reporting
• Create and maintain logical and physical data models to support analytics and business needs
• Work closely with business, analytics, and engineering teams to understand data requirements
• Ensure data quality, integrity, and performance across systems
• Troubleshoot and resolve data-related issues in production environments
• Document data architectures, models, and operational processes clearly
Minimum Qualifications:
Technical Skills
• Advanced proficiency in SQL, including performance tuning and query optimization
• Strong experience in data modelling (conceptual, logical, and physical models)
• Solid understanding of RDBMS technologies (e.g., Oracle, PostgreSQL, MySQL, SQL Server)
• Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)
• Proficient in Python for data processing, automation, and orchestration
• Strong UNIX/Linux skills, including shell scripting and command-line tools
Soft Skills & Attributes
• Excellent written and verbal communication skills
• Strong analytical and problem-solving abilities
• Excellent attitude with a proactive, ownership-driven mindset
• Ability to collaborate effectively across cross-functional teams
• Adaptable, curious, and eager to learn new technologies
Preferred Qualifications
• Experience with data warehousing and large-scale data platforms
• Familiarity with workflow orchestration tools and modern data architectures
• Previous experience handling high-volume or real-time data processing
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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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