Data Engineer I job opportunity at Condé Nast.

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DateMore Than 30 Days Ago bot
Condé Nast Data Engineer I
Experience: 3-years
Pattern: full-time
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loacation DLF Downtown1, Chennai, IN, India
loacation DLF Downtown1,..........India

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, 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 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 consumer revenue, video, clickstream, commerce, social and ad revenue 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: 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 update 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 3+ years of software development experience designing scalable & automated software systemsand 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 GitHub, 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 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.

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