Job Description

Location:

About Role: 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 Data Engineer who will build and maintain data pipelines 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:

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

• Contribute to the data infrastructure and platform used to build our data pipelines

• 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 iterative fashion

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

• Perform code reviews and in-depth technical reviews of system design architectures for junior engineers

• 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 of experience in near-real-time (Streaming) & Batch Data Pipeline development in a large-scale organization

• 7.5 years of relevant experience in software development in total.

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

• 2 years 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

• Strong Experience with 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 as Kinesis DynamoDB and S3

• Exceptional communication skills particularly in communicating and visualizingquantitative 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

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

• Experience with Git version control and other software adjacent tools

• Experience with Terraform or other Infrastructure as Code (IaC) 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.

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.