Data Engineering Manager

Data Solutions Engineering :

Role : Data Engineering Manager

Cond 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.

Cond 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 Cond Nast. Our mission is not only to inform readers but to ignite and nourish their passions.

The Data Solutions Engineering team within the Technology Organization has a wide range of responsibilities and play a critical role in shaping how Cond 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 Data Engineering Manager to manage very talented and highly performing data engineers to support a range of initiatives across various technical and business areas within Cond 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:

MINIMUM QUALIFICATIONS

• BS, MS, Ph.D., or equivalent industry experience in Computer Science, Software Engineering, or other related Science/Technology/Engineering/Math fields.
• 9+ years experience of near Real Time (Streaming) or Batch Data Pipeline development in a large scale organization
• Experience scaling & leading a large scale engineering project from end-to-end and managing 3-5 data engineers
• Experience in writing reusable/efficient code to automate analysis and data processes
• Data Architecture experience
• 4+ years of business/marketing analytics experience, preferably in a consumer-based organization
• 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 architecting/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
• Ability to work independently, multitask, and drive your own projects
• Proficiency in Python/PySpark, Scala or Java
• Proficiency in SQL
• 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