Data Engineer

1 day ago

Delhi, India Udacity Full time
Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.
Udacity Data Team is looking for a Data Engineer to help us to design and develop Udacity’s company-wide data solutions. The ideal candidate will be comfortable talking to data analysts, understand the data that power their products, generalize it and implement common fact tables across the company.
This is a high-impact opportunity and you’ll be a part of a team of highly talented Data Engineers, as well as Data Analysts and Data Scientists. The system you will be working on consists of a cloud-based data lake and is built completely on AWS using technologies such as Apache Spark, Airflow, Postgres and Redshift.
Responsibilities:
Design and develop infrastructure and tools for our data system
Work across multiple data analysts to brainstorm the data points behind their dashboard and generalize it in form of “fact stores”
Build out the cloud-based data solution using technologies such as Spark and Airflow on AWS
Work with stakeholders from other departments and successfully translate their requirements to engineering solutions
Produce high quality readable code in an agile setting
Preferred Experience:
B.Tech or MS in Computer Science , MIS or related degrees
4-6 years of experience working in the software industry
Solid understanding and experience practicing Agile software development methodologies such as test driven development
Good understanding in the principles of building robust data processing pipeline and track record of putting them in practice
Hands-on experience working with Apache Spark, AWS and relational databases
Proficiency in Scala, Python and SQL
Experience working with container-based stacks such as Docker or Kubernetes
Experience working with remote teams is a strong plus

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