Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Roles and Responsibilities:
• Work in data streaming, movement, data modeling and data pipeline development
• Develop pipelines and data model changes in support of rapidly emerging business and project requirements
• Develop code and maintain systems to support analytics Infrastructure & Data Lake
• Partner/Contribute to data analysis and machine learning pipelines
• Design data recovery processes, alternate pipelines to check data quality.
• Create and maintain continuous data quality evaluation processes
• Optimize performance of the analytics platform and develop self-healing workflows
• Be a part of a global team and collaborate and co-develop solutions
Minimum Qualification
• Bachelor’s degree in computer science, information technology, or engineering
• 3+ Years of prior experience in Data Engineering and Databases
• Experience with code based ETL framework like Airflow/Prefect
• Experience with Google BigQuery, Google PubSub, Google Dataflow
• Experience building data pipelines on AWS or GCP
• Experience developing data APIs and pipelines using Python
• Experience with databases like MySQL/Postgres
• Experience with intermediate Python programming
• Experience with advanced SQL (analytical queries)
• Preferred Qualifications
• Experience with Visualization tools like Tableau/QlikView/Looker
• Experience with building Machine Learning pipelines
Qualcomm is an American multinational corporation headquartered in San Diego, California, and incorporated in Delaware. It creates semiconductors, software, and services related to wireless technology. It owns patents critical to the 5G, 4G, CDMA2000, TD-SCDMA and WCDMA mobile communications standards.
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