1 – 6 years of experience as a Data Engineer or in a similar role
Extremely strong Problem solving skills and Analytical, Logical & Critical thinking skills using OOPS, Data Structures & Algorithms
Hands on experience working on AWS Cloud (Lambda/EC2/EKS/DynamoDB or any similar)
Experience with Data mining, Data Analytics, data modeling, data warehousing, and building ETL pipelines
Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,)
Experience with Big Data tools, platforms and architecture with solid working experience with SQL
Experience working in a very large data warehousing environments
Solid understanding on various data exchange formats and complexities
Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
Strong data visualization skills
Basic understanding of Machine Learning; Prior experience in ML Engineering a plus
Ability to manage on-premises data and make it inter-operate with AWS based pipelines
Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus