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Data Engineer III
  • Python
  • Spark
  • PySpark
  • Databricks
  • SQL
  • Hadoop
  • Scala
  • Business Intelligence
Conde Nast
New York, NY 10007
105 days ago
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. Condé Nast Entertainment was launched in 2011 to develop film, television and premium digital video programming.

Job Description

The Data Engineering team within the Data Organization 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 Data Engineers level III who will support a range of initiatives across various technical and business areas 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, read on:

RESPONSIBILITIES

Responsibilities include, but are not limited to:

  • Build, test, scale and maintain highly reliable data pipelines from a variety of batch data sources and real-time streams (Internal, third party, etc.), to understanding customer journeys across the landscape of our business

  • Build and maintain data infrastructure for Marketing Technology (MarTech) platform

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

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

  • 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.

  • Follow agile processes with a focus on delivering production-ready, testable deliverables in an iterable fashion.

  • Participate in the entire software development lifecycle, from concept to release

MINIMUM QUALIFICATIONS

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

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

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

  • Two or more years of business/marketing analytics experience, preferably in a consumer-based organization

  • Having a deep understanding of marketing integration and data architecture

  • 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

  • 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

  • Proficiency in Python/PySpark, SQL, or Scala

  • Experience with Databricks/Spark, AWS ecosystem, Hadoop, Pig, Hive, Flink, or Beam.

  • Experience with orchestration tools such as Airflow

  • Comfortable with CI/CD Pipelines

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

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.

C ondé Nas t 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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