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 company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location:

Chennai, TN

Qualifications

Bachelor’s degree or higher in Computer Science, a related discipline, or equivalent professional experience.
Experience designing scalable, automated, and reliable data pipelines and data processing systems.
Strong theoretical knowledge of data engineering concepts, data structures, and algorithms.
Proficiency in Python and PySpark.
Solid proficiency in SQL.
Hands-on experience with Databricks for data engineering, including notebook development, job orchestration, Delta Lake, and performance optimization.
Experience with data processing frameworks such as Apache Spark, Flink, or Beam.




Experience with cloud-based infrastructure such as AWS or GCP.
Exposure to orchestration platforms such as Airflow or Kubeflow.
Strong attention to detail, critical thinking, and the ability to work independently within a cross-functional team.
Basic understanding of version control tools such as GitHub, SVN, or CVS.
Understanding of Agile framework and delivery practices.
Conceptual knowledge of cloud-based distributed or hybrid data warehousing solutions and Data Lake architecture would be a plus.
Knowledge of AI-assisted development and implementation using tools such as Claude Code, Databricks Genie, or similar AI-based development platforms would be a plus.

Responsibilities

Responsibilities include, but are not limited to:

Work with team members to understand technical requirements and take ownership of development, unit testing, analytics, data products, and data engineering deliverables.
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📌 Data Engineer II (Chennai)
🏢 Condé Nast
📍 Chennai