Data Engineer - Level II at Conde Nast

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Media, PublishingIndustries

Requirements

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 (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 (Astronomer)
Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team
Comfortable with CI/CD (GitHub Actions) Pipelines
Experience with Git version control, and other software-adjacent tools
Terraform is used as an infrastructure-as-a-service tool

Responsibilities

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

Skills

data pipelines

batch processing

streaming data

ETL

machine learning

data transformation

CEP

recommendations

personalization

software development lifecycle

data infrastructure

monitoring

optimization

Conde Nast

About Conde Nast

N/AHeadquarters

N/AYear Founded

N/ACompany Stage

Consulting, Consumer Goods, EntertainmentIndustries

Benefits

Paid Vacation

Hybrid Work Options

401(k) Company Match

Bupa Private Healthcare

Parental Leave

Wellness Program

Performance Bonus

Risks

Decline in print media consumption impacts traditional magazine sales for Conde Nast.

Increased competition from agile digital-native media companies challenges Conde Nast.

Rising ad-blocker usage reduces effectiveness of Conde Nast's online advertising revenue.

Differentiation

Conde Nast leverages AI-driven content personalization to enhance user engagement.

The company focuses on sustainability, appealing to environmentally conscious consumers.

Conde Nast collaborates with influencers to effectively reach younger audiences.

Upsides

Short-form video content is a growing opportunity for Conde Nast's digital strategy.

The podcast industry's growth offers expansion potential for Conde Nast's audio content.

AI-driven personalization enhances user engagement and retention for Conde Nast.

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