Senior Data Engineer

Ankara Office
About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential. For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100. 
 
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We are proud to be recognized for our world class employee experience:

Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work:  Dublin
Fortune: Change the World Company
 
Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.
 
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
About The Role:
 
A key data team responsibility is to ensure proper data governance at Udemy. As a data engineer, you will work on projects that enhance the availability and usability of high quality data throughout the company. Through data modeling, performance tuning and parsing unstructured data, you will enable internal stakeholders to work more efficiently and effectively with data. Your main responsibilities will be to build, improve, maintain, and document quality data pipelines to be consumed by analysts and end-users for reporting, descriptive, and predictive analytics. You will be using technologies and tools such as Hive, Spark, and Amazon Redshift.
 
Responsibilities:
  • Work closely with other data engineers to enhance infrastructure, improve reliability, and strengthen database performance
  • Collaborate with data scientists, product managers, marketers and other data-driven internal stakeholders to identify opportunities for better data access and usage
  • Contribute to the ongoing development of the data warehouse ecosystem
  • Become the expert on all aspects of Udemy's data reporting and analytics infrastructure
  • Develop and maintain data definitions for internally available data sources

Qualifications:

  • 2+ years of experience working in analytics, business intelligence, data infrastructure or equivalent
  • Solid software engineering skills and proficiency with object-oriented or functional programming languages, such as Python, Scala, and Java
  • Excellent SQL skills with experience building tables in a production environment
  • Knowledge in ETL performance tuning / query optimization
  • Experience with data processing frameworks and tools such as Redshift, Hadoop, Hive, Spark, and Kafka
  • Self-driven, highly motivated and able to learn quickly
  • Strong communication skills to partner with and understand the needs of every data-consuming team in the company

Preferred, but not required:

  • Experience implementing a BI tool like Looker or Periscope 

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