Cloud Data Science Engineer Senior

Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:Data Analytics group is responsible for developing, maintaining, and operating automated on-premises and cloud-based solutions for big data pre-labelling, analysis, and visualization. These solutions are utilized by various teams leveraging a diverse technology stack. Team Enrichment, where this position is based, focuses on automated data labelling from our extensive global fleet and creates analytic solutions to address multiple use cases. To enhance our capabilities further, we are seeking a motivated Software Engineer with strong expertise in software engineering and cloud technologies for our Bangalore, India location.Key Responsibilities:· Develop and maintain comprehensive end-to-end data autolabelling pipelines.· Design and implement toolchains for the automatic identification of critical scenarios.· Enhance existing frameworks for statistical scenario analysis, supporting safety aspects related to Autonomous Driving (AD).· Apply creative problem-solving to design new modules that uncover previously unidentified data insights.· Collaborate within a highly motivated, international team that utilizes SAFe as the primary Agile framework for coordinationMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.· Minimum of 2 to5 years experience in software engineering with substantial exposure to data science and/or data engineering within an industrial context.· Demonstrated experience with cloud platforms such as AWS or Azure.· Several years of experience writing clean, well-documented, reusable Python code.· Solid understanding of standard software development processes, such as code reviews, unit testing, and CI/CD.· Strong analytical, problem-solving, debugging, and optimization abilities.· Experience with cloud-native tools such as API gateways and serverless components· Hands on experience with IAC: CloudFormation, Terraform· Knowledge of SQL and NoSQL databases· Skilled in big data tools including Spark, Hive, Presto, Iceberg, notebooks, and dashboards.· Master's degree or higher in Computer Science, Data Science, Mathematics, or a related field.Good To Have:· Experience in ADAS/Autonomous Driving sensor software development and testing 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- 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.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.