Sr. Software Engineer - Cloud

- Qualcomm is hiring multiple software engineers at Senior alevel to help architect and build its next generation data processing platform to support Autonomous Driving R&D efforts. Our goal is to design and build a highly scalable, efficient, and modular data platform. This platform will be used by engineers to run re-simulation pipelines, machine learning workloads, perform in-depth data analysis/analytics, visualize results, and more. Excellent communication and planning skills are critical in this role as we'll be working with internal teams and external partners.

- Responsibilities for this position include:

- Work with team leads to understand use cases and requirements

- Build proof-of-concepts to validate proposed designs and provide feedback

- Implement containerized workloads, microservices, distributed messaging systems and highly scalable distributed processing services.

- Drive software engineering best practices within immediate and external teams

- Support users of the platform

- Collaborate in global cross functional team

- Industry experience in designing and implementing scalable solutions.

- Design, develop, and maintain scalable data architectures, databases, and data warehouses to support the organization's data needs.

- Implement and optimize ETL (Extract, Transform, Load) processes to efficiently and securely move data from various sources into data storage systems

- Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform, including services like AWS Glue, Azure Data Factory, Data Bricks or Google BigQuery.

- Experience working with Hadoop, Hive, or other Apache Foundation frameworks.

- Strong in RDBMS, NoSQL DB technologies like Posgresql, mongodb etc

- Identify and implement data engineering best practices, tools, and frameworks to streamline data processing and improve overall efficiency

- Familiarity with data governance and security practices, including data privacy regulations (e.g., GDPR, CCPA)

- Strong in building transformation jobs using SPARK and understanding SPARK internals.

- Experience building reliable data processing pipelines in batch mode and realtime.

- Create and maintain robust data models, databases, and data visualization tools to facilitate data-driven decision-making processes

- Collaborate with cross-functional teams to define data requirements, identify key performance indicators (KPIs), and design appropriate data collection methodologies

- Familiarity using a programming language such as Python, Go, C/C++, Java. -> clean coding in these languages, code analysis tools. Strong concepts in Object oriented programming.

- Strong in building CI/CD pipelines on cloud.

- Experience in supporting applications post-production like debugging, documentation, support.

- Quick Learner and able to demonstrate POCs.

Good to have :

- Experience Autonomous Driving R&D applications would be added advantage.

- Experience in working on migration projects such as code migration, data migration etc.

- Experience working with spring boot framework

- Experience working on code builds such as Bazel.

Preferred Qualifications:

Years of Exp -> 3-6 yrs