Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location:

New York, NY

Condé Nast is a premier media company renowned for producing the highest quality content for the world's most influential audiences, attracting more than 100 million consumers across its industry-leading print, digital and video brands. 

Condé Nast is home to many of the world's most-celebrated magazine and website brands. The company's reputation for excellence is the result of our commitment to publishing the best consumer, trade, and lifestyle content. Our brands include Vogue, Epicurious, Vanity Fair, The New Yorker, Wired, and many more. Passion is the core of our philosophy at Condé Nast. Our mission is not only to inform readers but to ignite and nourish their passions. 

The Global Data Engineering team have a wide range of responsibilities and play a critical role in shaping how Condé Nast enables its business using data. The team is responsible for building data pipelines, data products and tools that enable our Data Scientists, Analysts in various business units, Business Intelligence Engineers and Executives to solve challenging use cases in our industry. 

We are seeking a seasoned Data Engineer who will build and maintain dimensional data models across business areas such as subscriptions, video, clickstream, commerce, social and advertising within Condé Nast. If you are looking for a challenging environment and to work with a world class team of data engineers in a well balanced environment and seasoned company, come join us: 

RESPONSIBILITIES 

Responsibilities include, but are not limited to: 

• Understand the company data assets, and engage with business stakeholders, the analytics team, the Business Intelligence team and other data consumers to translate their data needs into efficient, effective and scalable dimensional data models 

• Serve as a core member of the data engineering team and be proficient in assisting the business with understanding data attributes, data models, cardinality, granularity, etc 

• Build, test, scale and maintain highly reliable dimensional data models from a variety of batch data sources and real-time streams 

• Build and maintain highly validated data-marts with ensured clarity and correctness of key business metrics for BI reporting purposes 

• Collaborate with other Data Engineers, Data Scientists, and BI Engineers to architect and implement a shared technical vision 

• Design and present recommendations to guide future business and data directions

• Contribute to the data infrastructure and platform used to build our data pipelines ● Follow agile processes with a focus on delivering production-ready, testable deliverables in an iterable fashion 

• Serve as a senior technical contact for the data solutions engineering team 

MINIMUM QUALIFICATIONS 

• BS, MS, Ph.D., or equivalent industry experience in Computer Science, Software Engineering, or other related Science/Technology/Engineering/Math fields.

• 4+ years experience of near Real Time (Streaming) & Batch Data Pipeline development in a large scale organization 

• 9+ years of relevant experience in software development in total.

• Experience in writing reusable/efficient code to automate analysis and data processes 

• 3+ of business/marketing analytics experience, preferably in a consumer-based organisation 

• Experience successfully working on an independent project with very minimal supervision 

• Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from web analytics, consumer analytics, and advertising 

• Expertise in data modelling, batch data pipeline design and implementation

• Strong Experience in software development and engineering principles

• Experience implementing scalable, distributed, and highly available systems using AWS services such Kinesis, DynamoDB, S3 

• Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for business stakeholders 

• Experience in mentoring and supporting junior members of the team

• High Proficiency in Python/PySpark, Scala or Java 

• High Proficiency in SQL 

• Experience with Databricks/Spark 

• Experience with orchestration tools such as Airflow (we use Astronomer)

• Comfortable with CI/CD (we use GitHub Actions) Pipelines 

• Experience with Git version control, and other software adjacent tools

• Terraform used as Infra as service tool.

• Salary Range: 150,000.00-185,000.00

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.