Amazon Data Engineer Network Product Development - Optics 

United States, California, Cupertino 

287130248

As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.
Key job responsibilities- Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
- Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.
- Explore new datasets and establish mechanisms to provide access to them for the entire organization
- Manage numerous requests concurrently and strategically, prioritizing when necessary
A day in the life
About the team
Meet Kensie, Network Development Engineer -- Link
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Physics, Mechanical/Computer Engineering, or equivalent
- 4+ years of hands-on experience with onboarding to and collecting data
- 3+ years of experience with developing metrics from data
- 2+ years of experience creating software to ingest, and load data through pipelines
- 2+ years of experience validating and cleaning data
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR