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 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
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
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.