Cloud Data Science Engineer
Qualcomm
Company:
Qualcomm India Private Limited Job 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 coordination
Minimum 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
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