
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made the
right move to invest heavily in understanding this data and formed a whole new Data
team entirely dedicated to data processing, engineering, analytics, and visualization. This
team helps drive engagement, fuel process innovation, further content enrichment, and
increase market revenue. The Data team aimed to create a company culture where data
was the common language and facilitate an environment where insights shared in
real-time could improve performance. The Global Data team operates out of Los Angeles,
New York, Chennai, and London. The team at Condé Nast Chennai works extensively with
data to amplify its brands' digital capabilities and boost online revenue. We are broadly
divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create
data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.

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http://www.banyandata.com" target="_blank">www.banyandata.com
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