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Udacity

Data Engineer

Posted Yesterday
Be an Early Applicant
India
Mid level
India
Mid level
Design and develop infrastructure and tools for data analytics at Udacity. Collaborate with analysts to generalize data points and build reliable data processing pipelines using AWS technologies.
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About Us

Udacity is now an Accenture company, and exciting things are happening! 🚀 We are 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.

Data Driven is a Udacity core value. Udacity Data Engineering Team is looking for a Software Engineer to help us to design and develop Udacity’s company-wide data solutions in support of that value. The ideal candidate will be comfortable talking to data analysts, data scientists and business stakeholders, understand the data that powers 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 global Data Team of highly talented Software Engineers, Data Analysts and Data Scientists based primarily in India and North America. The system you will be working on consists of a cloud-based data lake and is built completely on a cloud-native environment on AWS, using technologies such as Apache Spark, Airflow, Postgres and Redshift. 

About Udacity Data Engineering 

  • We prioritize the quality and trustworthiness of the data 
  • We embrace common and proven software engineering practices to achieve quality while maximizing the productivity 
  • We promote collective and shared ownership of our technical assets
  • We value the flexibility needed in working in a global while balance and minimize non-work hour involvement in all locations 

How You Can Help 

  • Design and develop infrastructure and tools for the systems powering all of Udacity’s data, analytics and reporting 
  • Work with analysts to generalize the data points behind their work to form multi-dimensional data stores 
  • Building out the lakehouse for analytics, machine learning and AI use cases with strong focus on accuracy and reliability using technologies such as Spark, Airflow, dbt and Iceberg on AWS 
  • Working with stakeholders from other departments and successfully translating their requirements to engineering solutions 
  • Being a champion and thought leader of effective agile software development practice and producing high quality readable code in such a setting 

What We Need From You 

  • BS or MS in Computer Science , MIS or related degrees 
  • 4+ years of experience working in the software industry, with at least 2 of which in data engineering
  • 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 
  • Proven ability to trace, identify and resolve issue in data, infrastructure and code
  • Hands-on experience working with Apache Spark, cloud data storage and relational databases 
  • Hands-on experience working on cloud platforms, preferably AWS
  • Proficiency in Python, Scala and SQL 
  • Experience working with generative AI is desired 
  • Experience working with US or Europe based remote teams is a strong plus

Benefits:

Experience a rewarding work environment with Udacity's perks and benefits!

  • At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person
  • Flexible working hours
  • Paid time off
  • Comprehensive medical insurance coverage for you and your dependents
  • Employee wellness resources and initiatives (access to wellness platforms like Headspace)
  • Quarterly wellness day off
  • Personalized career development
  • Unlimited access to Udacity Nanodegrees

Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation. 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

 Accenture Equal Opportunity Statement

Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 


Udacity's Values
 
Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist 
 
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Top Skills

Airflow
Spark
AWS
Postgres
Python
Redshift
Scala
SQL

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