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Data Engineering Manager
3 months ago
Data Engineering Manager 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.
Condé 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.
Passion is the core of our philosophy at Condé 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 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 Engineering Manager to manage very talented and highly performing data engineers to 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: Participate in, and execute, a Data Engineering roadmap with input from Product, Technology and Data Science Build cross-functional relationships with Product Managers, Data Scientists, Software Engineers, BI Engineers, Analysts to understand needs for consumer data for initiatives Architect, 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 Assist data science in building consumer focused ML models for personalization, churn, propensity, LTV Design and build data infrastructure for the Data Solutions Engineering team Ensure deliverables and timelines are communicated effectively to business stakeholders Serve as a senior member of the data engineering team and be proficient in assisting the business with understanding data attributes Be able to articulate technical requirements to engineers based on business requirements with guidance from Project, Program and Product Managers Design and present recommendations to guide future business and research directions Follow agile processes with a focus on delivering production-ready, testable deliverables in an iterable fashion.
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, Dynamo DB, 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/Py Spark, Scala or Java Proficiency in SQL Experience with Databricks/Spark, AWS ecosystem, Hadoop, Pig, Hive, Flink, or Beam.
