1 week ago

Data Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Build and maintain batch data ingestion pipelines for a Customer Data Platform, powering identity resolution and audience activation across multiple international markets. Design workflows in Digdag (Treasure Data), transform data with SQL and Python, and export segmented audiences to downstream marketing platforms. Work within trunk-based development and CI/CD using GitHub Actions, while monitoring pipeline health, debugging data quality issues, and collaborating with data scientists, analysts, and product managers.

Location: Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain batch data ingestion pipelines pulling consumer data from multiple sources including events, subscriptions, e-commerce, email platforms, and third-party APIs.
•Develop and maintain Digdag workflows in Treasure Data to orchestrate ingestion, transformation, and activation stages.
•Write SQL and Python to transform raw data into clean, unified datasets for audience segmentation, reporting, and activation.
•Contribute to identity resolution pipelines that unify consumer identities across devices, brands, and markets at scale.
•Build and maintain audience activation workflows that export segmented user data to marketing platforms such as Iterable, Sailthru, Klaviyo, Airship, and LinkedIn, while monitoring and debugging pipeline failures and data quality issues.

Key Requirements

•Degree (B.E., B.Tech, or higher) in Computer Science, Information Technology, or related field, or equivalent experience.
•4–6 years of software development experience building and maintaining scalable data pipelines.
•Strong SQL skills for querying and transforming large-scale structured datasets.
•Proficiency in Python for data engineering tasks such as scripting and pipeline logic.
•Experience with workflow orchestration (Digdag preferred; Airflow/Prefect considered) and cloud Customer Data Platforms (Treasure Data preferred).

Experience:4-6 years

Education:Bachelor's

Skills:Attention to detailOwning and debugging complex workflowsCross-functional collaborationResponding to pipeline failuresMaintaining data quality

Tech Stack:SQLPythonDigdagTreasure DataAirflowPrefectDatabricksBigQuerySnowflakeREST APIsGitGitHubGitHub ActionsCI/CDTrunk-based developmentCodexClaudeGeminiIterableSailthru

Company Brief

Conde Nast

Conde Nast is a global media company publishing premium magazines, digital brands, and video content across fashion, lifestyle, culture, and luxury sectors. It creates editorial, advertising, and branded-content experiences for audiences and marketers worldwide.

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn

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Conde Nast

1 week ago

Data Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: Chennai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and maintain batch data ingestion pipelines pulling consumer data from multiple sources including events, subscriptions, e-commerce, email platforms, and third-party APIs.
•Develop and maintain Digdag workflows in Treasure Data to orchestrate ingestion, transformation, and activation stages.
•Write SQL and Python to transform raw data into clean, unified datasets for audience segmentation, reporting, and activation.
•Contribute to identity resolution pipelines that unify consumer identities across devices, brands, and markets at scale.
•Build and maintain audience activation workflows that export segmented user data to marketing platforms such as Iterable, Sailthru, Klaviyo, Airship, and LinkedIn, while monitoring and debugging pipeline failures and data quality issues.

Key Requirements

•Degree (B.E., B.Tech, or higher) in Computer Science, Information Technology, or related field, or equivalent experience.
•4–6 years of software development experience building and maintaining scalable data pipelines.
•Strong SQL skills for querying and transforming large-scale structured datasets.
•Proficiency in Python for data engineering tasks such as scripting and pipeline logic.
•Experience with workflow orchestration (Digdag preferred; Airflow/Prefect considered) and cloud Customer Data Platforms (Treasure Data preferred).

Experience:4-6 years

Education:Bachelor's

Skills:Attention to detailOwning and debugging complex workflowsCross-functional collaborationResponding to pipeline failuresMaintaining data quality

Tech Stack:SQLPythonDigdagTreasure DataAirflowPrefectDatabricksBigQuerySnowflakeREST APIsGitGitHubGitHub ActionsCI/CDTrunk-based developmentCodexClaudeGeminiIterableSailthru

Company Brief

Conde Nast

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn