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Key job responsibilities
- Design and implement data pipelines for the different Network design programs.
- Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows.- Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements.
- Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements
- Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.
- Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance.
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience as a Data Engineer or in a similar role
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience building large-scale, high-throughput, 24x7 data systems
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
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