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, the company's portfolio includes some of the most iconic titles in media: Vogue, Vanity Fair, Glamour, Brides, Self, GQ, GQ Style, The New Yorker, Condé Nast Traveler, Allure, Architectural Digest, Bon Appétit, Epicurious, Wired, W, Golf Digest, Golf World, Teen Vogue, Ars Technica, The Scene, Pitchfork and Backchannel. The company's newest division, Condé Nast Entertainment, was launched in 2011 to develop film, television and premium digital video programming. For more information, please visit condenast.com and follow @CondeNast and @CondeNastCareer for Twitter and @condenastcareers for Instagram
The Data Services team is seeking a Data Engineer with a passion for creating data products to help create more engaging, personalized experiences for users across Conde Nast's properties. You will have the opportunity to build both product features and internal data tools, all while working with a diverse group of datasets - web events, ad streams, content and context models, etc. You will also get to work with the newest data technologies available. Above all, you will influence how users interact with Conde Nast's industry-leading journalism.
* Develop and maintain scalable data pipelines, with a focus on writing clean, fault-tolerant code * Maintain various data stores and distributed systems, such as Hive and Presto * Optimize data structures for efficient querying of those systems * Collaborate with internal and external data sources to ensure integrations are accurate, scalable and maintainable * Collaborate with data science team on implementing machine learning algorithms to facilitate audience intelligence and cross-brand personalization initiatives * Collaborate with business intelligence/analytics teams on data mart optimizations, query tuning and database designs * Execute proof of concepts to assess strategic opportunities and future data extraction and integration capabilities * Define data models, publish metadata, and best practice querying standards
* 2+ years data engineering and/or software development experience, preferably with experience using a scripting language such as Python or Java * Fluency in SQL (any variant) * Experience with Hadoop and related technologies (Hive, Presto, Spark) * Exceptional analytical, quantitative, problem-solving, and critical thinking skills * Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities
* Experience with workflow / ETL tools and schedulers; e.g. Luigi, Airfow * Experience with AWS tools; especially EMR, S3, Lambda * Experience with GCP tools; e.g. BigQuery, DataFlow, PubSub * Experience with Apache Beam
What happens next?
If you are interested in this opportunity, please apply below and we will review your application as soon as possible. Please note that due to the high level of applications we receive, it is not always possible for us to respond to each applicant in person. Should your profile fit this open position we will contact you within approximately 4 weeks. You can update your resume or upload a cover letter at any time by accessing your candidate profile.
Condé Nast is an equal opportunity workplace.
Duties and responsibilities may be adjusted based on years of experience.
Salary is also commensurate with experience.
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