Qualcomm India Private Limited is seeking a Senior Data Engineer to join their PTEIT Machine Learning Data Engineering team. This role offers an exciting opportunity to work with cutting-edge data technologies in a hybrid cloud environment. The ideal candidate will have extensive experience in Python programming, AWS services, and data pipeline development.
The position involves designing and developing sophisticated data pipelines and services, with a focus on enabling advanced analytics. You'll work with modern technologies including Apache Airflow, AWS suite of services, and various data warehousing solutions. The role requires strong expertise in data modeling, architecture, and CI/CD practices.
As a Senior Data Engineer, you'll be responsible for building efficient, scalable data solutions while ensuring data quality, observability, and proper monitoring. The position offers growth opportunities within a global technology leader, working alongside industry experts in data engineering and machine learning.
Qualcomm offers comprehensive benefits including world-class health coverage, financial planning assistance, wellbeing programs, and continuous learning opportunities through tuition reimbursement and mentorship programs. The company fosters a supportive, inclusive culture where innovative ideas are encouraged and valued.
This role is perfect for a data engineering professional who wants to work on challenging problems at scale, with access to cutting-edge technology and the opportunity to make significant impacts on data infrastructure and analytics capabilities. Join Qualcomm to be part of a team that's driving technological innovation while enjoying excellent career growth opportunities and comprehensive benefits.