Lead data engineering strategy and develop enterprise data lake solutions on AWS. Build data pipelines using AWS data integration, engineering, and analytics resources, develop API services with FastAPI or Flask, optimize engineering practices, create long-term data plans, and represent the team in executive meetings.
We are looking for an Sr AWS Data & Solutions Engineer with primary skills on Python & PySpark development who will be able to design and build solutions for one of our Fortune 500 Client programs, which aims towards building an Enterprise Data Lake on AWS Cloud platform, build Data pipelines by developing several AWS Data Integration, Engineering & Analytics resources. You will be responsible for building API services using FastAPI or Flask frameworks.
ResponsibilitiesLead data engineering strategy across projects. Drive innovation in practices and optimization. Represent team in executive meetings. Develop long-term data plans.
QualificationsGraduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.
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Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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