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EDEpsilon Data Management
Epsilon Data ManagementData Management

Data Engineer Specialist

Data Platform, AI

Location

Mumbai, India

Work type

Onsite

Employment

Full Time

Experience

8-10 years

Compensation

Compensation not disclosed

Posted

2d ago

Summary and responsibilities

Role overview

Summary

This role involves leading engineering teams across data engineering, backend development, and DevOps to design, develop, and evolve scalable data platform architectures. The specialist will drive the creation of reliable data layers, implement data governance and quality standards, and lead AI enablement initiatives.

Responsibilities Role Overview

You will play a critical role in the structuring, development, and delivery of large-scale technology solutions for Publicis Media France.

You will lead engineering teams across data engineering, backend development and DevOps, owning the technical roadmap of the Data Platform and ensuring its scalability, reliability and long-term evolution.

Key Responsibilities / Missions

  • Technical Leadership & Architecture

    • Lead the design and evolution of scalable platform architectures.

    • Define and enforce architecture, development and security standards.

    • Make strategic technical decisions aligned with business and product needs, and promote engineering best practices across teams.

  • Data Platform Delivery (SILVER / GOLD)

    • Drive the development of curated Data Platform layers (SILVER and GOLD datasets).

    • Ensure datasets are reliable, standardized and analytics-ready, enabling downstream reporting, activation and advanced use cases.

  • Data Governance

    • Contribute to the definition and implementation of Data Governance practices, including documentation, ownership, access control, lineage and governance standards, as part of the platform roadmap.

  • Data Quality

    • Embed Data Quality as a core platform capability by defining quality standards, implementing automated tests, monitoring, and ensuring strong documentation and traceability across pipelines.

  • AI Enablement & Exploratory Topics

    • Lead AI enablement initiatives as part of the platform roadmap, including exploratory work around Cloud and Platform AI Agents.

    • Identify opportunities where AI can improve data quality, governance, observability, automation and developer productivity, while ensuring responsible and secure adoption.

  • DevOps & Platform Engineering

    • Promote Infrastructure-as-Code, CI/CD pipelines, testing strategies and deployment automation.

    • Establish coding guidelines, documentation standards and review processes to ensure engineering excellence.

  • Team Leadership & Skill Development

    • Lead and mentor offshore engineering teams.

    • Define skill development plans across data engineering, cloud platform engineering, governance, quality and AI topics.

    • Encourage knowledge sharing and allocate capacity for proof-of-concepts and innovation.

Core Technology Stack

Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub), Airflow / Cloud Composer, DBT, Python, SQL, Terraform, CI/CD pipelines.

Qualifications

  • 8-10 years of experience in Platform Engineering, Data Engineering or Backend Engineering.

  • Proven experience leading distributed teams, delivering large-scale data platforms, and operating as a senior technical leader.

  • Excellent communication skills in English.

Updated 2d ago

Candidate fit

Skills and qualifications

Additional skills

Data Engineering • 1+ yrs
Backend Development • 1+ yrs
DevOps • 1+ yrs
Platform Engineering • 1+ yrs
Technical Leadership • 1+ yrs
Architecture Design • 1+ yrs
Strategic Technical Decisions • 1+ yrs
Engineering Best Practices • 1+ yrs
Data Platform Development • 1+ yrs
Data Governance • 1+ yrs
Data Quality • 1+ yrs
Automated Tests • 1+ yrs
Monitoring • 1+ yrs
Traceability • 1+ yrs
AI Enablement • 1+ yrs
Cloud AI Agents • 1+ yrs
Infrastructure-as-Code • 1+ yrs
CI/CD Pipelines • 1+ yrs
Testing Strategies • 1+ yrs
Deployment Automation • 1+ yrs
Coding Guidelines • 1+ yrs
Documentation Standards • 1+ yrs
Review Processes • 1+ yrs
Team Leadership • 1+ yrs
Mentoring • 1+ yrs
Skill Development • 1+ yrs
Knowledge Sharing • 1+ yrs
Proof-of-Concepts • 1+ yrs
Innovation • 1+ yrs
Google Cloud Platform • 1+ yrs
BigQuery • 1+ yrs
Cloud Storage • 1+ yrs
Cloud Functions • 1+ yrs
Cloud Run • 1+ yrs
Pub/Sub • 1+ yrs
Airflow • 1+ yrs
Cloud Composer • 1+ yrs
DBT • 1+ yrs
Python • 1+ yrs
SQL • 1+ yrs
Terraform • 1+ yrs
Scalability • 1+ yrs
Observability • 1+ yrs

Experience

8-10 years

How this role is positioned

Role classification

Job domains

IT & System Administration

Industries

Technology & IT

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

Compensation not disclosed

VisibilityShared on listing
CurrencyUSD
PeriodYearly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationMumbai, India
Work typeOnsite
Global hiringNo

Bandwidth profile

peopleHigh9/10
physicalLow2/10
cognitiveHigh9/10
executionHigh8/10
creativityHigh8/10
uncertaintyMedium7/10
communicationHigh8/10

Context on the employer

Company snapshot

Company

Epsilon Data Management

Team size

Growing team

Location

Mumbai, India

Epsilon Data Management is a technology company focused on structuring, developing, and delivering large-scale technology solutions, particularly data platforms, for clients in the media sector.

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Data Engineer Specialist

Mumbai, IndiaFull Time