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Conde Nast India
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Associate - Data Engineer

Associate - Data Engineer

Conde Nast India

1 - 2 years

3 - 4 Lacs

chennai

Posted:6 hours ago| Platform:

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Skills Required

cvs coding agile data structures informatica unit testing jira analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Cond 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, Self, GQ, The New Yorker, Cond Nast Traveler/Traveller, Allure, AD, Bon App tit and Wired, a g others.

Job Description

Location:

Chennai, TN

RESPONSIBILITIES

Responsibilities include, but are not limited to:

Work with team members to enable them to fullfill the technical needs and own the responsibility of development, unit testing of data-products, analytics, and data engineering needs.
Build efficient code to transform raw data into datasets for analysis, reporting and data models
Collaborate with other data engineers to implement a shared technical vision
Participate in the entire software development lifecycle, from concept to release
Discuss with PO team, create JIRA tickets wherever necessary and up work logs properly

MINIMUM QUALIFICATIONS

Applicants should have a degree (B.S. or higher) in Computer Science or a related discipline or relevant professional experience
Experience in designing scalable & automated software systems, strong theoretical knowledge is mandatory.
Proficiency in Python/PySpark coding. Data structures and algorithms using python are preferred.
Proficiency in SQL
Experience with data processing frameworks such as Spark, Flink, or Beam
UnderExperience in cloud-based infrastructures such as AWS or GCP
Exposure to orchestration platforms such as Airflow or Kubeflow
Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team
Basic understanding of code versioning tools such as Gi b, SVN, CVS etc.,
Understanding of Agile framework and delivery
Experience in any one of the ETL tool like Informatica, Talend ETL, PentahoDI would be a plus
Conceptual knowledge on cloud based Distributed/Hybrid data-warehousing solutIons and Data Lake knowledge would be a plus

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 up your resume or upload a cover letter at any time by accessing your candi profile.

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Associate - Data Engineer