Data Engineer Level II

Chennai - India

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

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 companys portfolio includes many of the worlds 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.

Job Description

Location:

Chennai TN

About The Role : The Data Solutions Engineering team has a wide range of responsibilities and plays 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:

About Responsibilities:

Responsibilities include but are not limited to:

Design build and test batch and streaming data pipelines

Build efficient code to transform raw data into datasets for analysis reporting and machine learning models

Work with data scientists to deploy machine learning model outputs into CEPs for recommendations and personalizations

Collaborate with other data engineers data scientists and product managers to implement a shared technical vision

Participate in the entire software development lifecycle from concept to release Contribute to shared data engineering tooling & standards to improve productivity Support monitor and optimize current and future data infrastructure and platform Provide technical guidance and mentorship to junior engineers

Evaluate technologies and conduct proof-of-concepts

MINIMUM QUALIFICATIONS

Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience

5 years of software development experience designing scalable & automated

software systems

Experience in processing structured and unstructured data into a form suitable for analysis and reporting

Experience with data modelling batch data pipeline design and implementation Experience building batch or real-time data pipelines

Strong software development skills with high proficiency in Python/PySpark or Scala

High Proficiency in SQL

Experience with data processing frameworks such as Apache Spark (we use Databricks)

Experience with data transformation tools such as dbt Cloud

Experience in cloud-based infrastructures such as AWS or GCP

Exposure to orchestration platforms such as Airflow (we use Astronomer)

Proven attention to detail critical thinking and the ability to work independently

within a cross-functional team

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

Experience with Git version control and other software-adjacent tools

Terraform is used as an infrastructure-as-a-service tool.

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.