Publicis GroupeFreshers JobsOfficial Job Posting

Software Engineer at Publicis Groupe

Bengaluru, IndiaOnsite1–5 YearsNot specified

Publicis Groupe is a global leader in marketing, communication, and digital transformation. As a Software Engineer in the Data Engineering team at Epsilon (a Publicis Groupe company), you will build next-generation data platforms powering Epsilon's core ecosystem. You will design, develop, and optimize scalable, high-performance data solutions that process terabytes of data daily using modern big data, cloud, and automation technologies.

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Publicis Groupe Software Engineer career opportunity

Official Role Details

Role Overview

You will design, develop, and optimize scalable, high-performance data solutions that process terabytes of data daily using modern big data, cloud, and automation technologies.

Applicant Requirements

Eligibility Criteria & Qualifications

Degree / QualificationB.E / B.Tech / MCA / B.Sc

Eligible BatchesNot specified

Official Eligibility Points

BE / B.Tech / MCA (Full-time course only; no correspondence).
3 to 5 years of hands-on experience working in a Linux or Unix environment.
1 to 3 years of experience in Shell Scripting and SQL.
Must have strong hands-on experience in Python and PySpark.
Prior experience with AWS, Git/Bitbucket, and JIRA.

Day-to-Day Deliverables

Key Responsibilities

Application Development & Feature Delivery

•Design and develop custom data solutions using Databricks, Python, and PySpark.
•Work with Technical Leads and Architects to contribute to data modeling, quality, and governance.

System Integration & Data Flow

•Develop efficient, reusable, and reliable code for large-scale data processing and transformation.
•Collaborate with cross-functional teams and participate in code reviews to enforce best coding standards.

Testing, Quality & Collaboration

•Perform detailed analysis, troubleshooting, and root cause analysis (RCA) for production issues.

Technical Qualifications

Required Skills & Technologies

PythonPySparkDatabricksSQLShell ScriptingLinux/UnixAWSGit / Bitbucket

Official Application Method

How to Apply

Submit your application directly through Publicis Groupe's verified careers portal.

Review the published role requirements, degree qualifications, and eligible graduation batches above.

Ensure your resume highlights relevant projects and contains working GitHub repository links.

Click the official application button below to open Publicis Groupe's direct careers page.

Complete and submit your application directly on the employer's portal.

Apply on Publicis Groupe Official Careers Page

You will be directed to Publicis Groupe's official careers portal. Career Insights does not process applications or charge any candidate fees.

The specifications above are verified official details published by Publicis Groupe. Candidates should verify all final terms, deadlines, and eligibility directly on Publicis Groupe's official careers portal before submitting an application.

Career Insights

Recommended Preparation

Independent editorial guidance based on the published role information.

What to Prepare

Evaluate your technical background against published criteria and key preparation focus areas.

Education & Academic Criteria

Cohort: Eligible: Not specifiedPublished Requirement

Published Requirement

B.E / B.Tech / MCA / B.Sc

Preparation Focus

Hiring evaluations prioritize demonstrable problem-solving, domain competence, and practical project evidence over specific degree pedigree.

SQL & Data Querying

Published Requirement

Proficiency in relational databases, SQL queries, and data extraction.

Preparation Focus

Master complex SQL operations: Window functions (ROW_NUMBER, RANK, DENSE_RANK), CTEs, multi-table JOINs, and query execution plan analysis.

Data Analysis & Visualization

Published Requirement

Data cleaning, transformation, and reporting dashboards.

Preparation Focus

Be prepared to clean messy datasets using Python (Pandas/NumPy) or Excel, identify statistical outliers, and explain KPI metric definitions.

Data Storage & Persistence

Published Requirement

Familiarity with databases, schema modeling, and structured query writing.

Preparation Focus

Be prepared to explain relational normalization (1NF-3NF), indexing trade-offs, foreign key constraints, and transactional consistency.

Version Control & Engineering Hygiene

Published Requirement

Familiarity with Git branching, pull requests, and collaborative repository management.

Preparation Focus

Review Git branch workflows, pull request code reviews, and maintain clean commit history with descriptive messages.

Work Mode & Collaboration

Published Requirement

Onsite (Bengaluru, India) operational structure.

Preparation Focus

Highlight proactive written communication, technical documentation discipline, and the ability to troubleshoot errors systematically before escalating.

Technical Topics

Depending on the hiring team’s evaluation style, technical assessments for this role typically cover these core areas:

Topic 1: Core Fundamentals & Problem Solving

Preparation Topic

Time and space complexity analysis (Big-O)
Arrays, Strings, HashMaps, and two-pointer algorithms
Idiomatic syntax and core library methods in Python

Preparation Tip: Practice solving standard algorithmic problems methodically: state your assumptions, explain your approach before coding, and verify edge cases (empty inputs, boundaries).

Topic 2: Role-Specific Technical Concepts

Preparation Topic

Language memory models, object-oriented design, API communication
Database querying and schema relationships (JOINs, indexes, constraints)
HTTP request/response lifecycles, status codes, and JSON serialization

Preparation Tip: Be ready to explain technical concepts conceptually and in code. Interviewers frequently probe into why one data structure or library was chosen over alternatives.

Topic 3: Hands-on Practical Coding or Take-Home Evaluation

Preparation Topic

Writing clean, maintainable, and modular code
Defensive input validation and error handling (try/catch, status codes)
Writing unit test assertions to verify correct behavior

Preparation Tip: Many engineering evaluations feature a machine coding or take-home component. Focus on readable variable naming, separation of concerns, and delivering a functional solution.

Topic 4: Project Walkthrough & Architecture Discussion

Preparation Topic

Deep dive into a standout project from your resume
Architectural design trade-offs and component boundaries
A specific technical bug or scalability challenge and how you resolved it

Preparation Tip: Pick one project you know inside-out. Be prepared to diagram the data flow, explain your database schema choices, and justify your tech stack.

Topic 5: Collaboration, Behavioral & Culture Alignment

Preparation Topic

Clear, proactive communication style
Receiving and acting upon constructive code review feedback
Self-directed learning and debugging discipline

Preparation Tip: Use the STAR method (Situation, Task, Action, Result) when discussing past experiences, team conflicts, or learning curves.

* Note: These are independent Career Insights editorial recommendations to help candidates structure their study plan. They do not represent guaranteed interview stages or official hiring mandates from Publicis Groupe.

Practical Project

Practice the stack by building a small production-style application that demonstrates the role's core development requirements.

Practical Project

Customer Cohort Retention & Churn Analyzer

Recommended Preparation Project

What to Build

A SQL-driven analytics project that calculates monthly cohort retention, customer lifetime value, and churn indicators from raw transaction tables.

Skills Demonstrated

Advanced SQL (Window Functions, CTEs), Data Modeling, Business Intelligence Visualization, Statistical Analysis

GitHub Deliverables

Include database schema diagrams, reproducible sample data generation scripts, and screenshots of key cohort insights charts.

Interview Talking Points

Query optimization techniques for large event tables and how you accounted for edge cases like returning inactive users.

Career Insights recommendation: This project is an independent editorial recommendation designed to help candidates build verifiable portfolio evidence. It is not required or sponsored by Publicis Groupe.

Before You Apply

Review and verify these items to ensure your application materials are structured and complete.

1. Role-Tailored Resume & GitHub Links

Ensure your resume clearly highlights hands-on projects involving Python, PySpark, Databricks. Include verified, publicly accessible GitHub repository links with clean README files.

2. Eligibility & Batch Verification

Confirm that your graduation year (Not specified), educational background, and location match the employer's published requirements before applying.

3. Standout Project Code & Architecture Review

Have 1–2 key projects prepared for technical discussion. Be ready to explain your database schema choices, API contracts, error boundaries, and design trade-offs.

4. Direct Submission on Publicis Groupe's Official Portal

Submit your application directly through Publicis Groupe's official careers portal using the verified apply link below. Career Insights does not process applications or charge any candidate fees.

Career Growth Context

Editorial analysis of how this role contributes to software engineering progression and technical ownership.

Ramp-up & Tech Stack Orientation

Deepening familiarity with the team’s architecture, continuous integration pipelines, and coding conventions.

Core Module Ownership

Building, testing, and shipping modular features that directly support application scalability and user requirements.

System Design & Code Quality

Contributing to architectural trade-off discussions, improving database query efficiency, and mentoring junior teammates.

Progression Toward SDE-II / Senior Scope

Transitioning toward broader system ownership, service reliability leadership, and cross-functional technical delivery.

Career Insights Context: Career progression in engineering teams is primarily driven by technical execution, defensive coding practices, and solving complex problems with high reliability.

Career Insights Editorial Standards

This page provides verified job details sourced from Publicis Groupe's recruitment announcement, alongside independent preparation roadmaps authored by the Career Insights editorial team. Career Insights is not affiliated with Publicis Groupe and does not collect candidate data or charge application fees.