Software Engineer (Data Engineering) at Publicis Groupe & Epsilon

Studyecart; Hinoba-an; Hybrid; PHP 792,000 - 1,187,000; Full time

Job summary

Publicis Groupe & Epsilon is seeking a Software Engineer (Data Engineering) to design and optimize scalable big data platforms using Python, PySpark, Databricks, and AWS. The role requires strong scripting, SQL, and Linux/Unix experience and offers a hybrid work model based in Bengaluru.

You will develop data processing solutions, troubleshoot production issues, and gain exposure to data governance and AI integrations as part of a fast-growing data engineering team.

Qualifications

• Degree requirement: BE / B.Tech / MCA (regular full-time).
• Eligible batches: 2022, 2023, 2024, 2025 pass-outs.
• 3-5 years of experience in Linux/Unix environment.
• Core tech: Shell scripting, SQL, Python/PySpark; Databricks and AWS are a strong plus.

Responsibilities

• Design, develop, and optimize scalable data pipelines in Databricks using Python/PySpark.
• Provide outstanding data processing and client data support per detailed specifications.
• Perform RCA for production data issues to maximize reliability.

Skills

Shell Scripting

SQL

Python/PySpark

Linux/Unix

Education

BE / B.Tech / MCA (Regular full-time)

Tools

Databricks

AWS

Job description

Software Engineer (Data Engineering) at Publicis Groupe & Epsilon

Monday, September 7, 2026 By Yogi Siddeswara

Publicis Groupe is a global leader in marketing, communication, and digital business transformation. Operating under its data-driven subsidiary, Epsilon, the company powers the global marketing and advertising ecosystem by processing over 400 billion consumer actions every day using advanced AI and proprietary technology. Epsilon's product and data engineering teams build scalable, high-performance big data platforms that connect millions of customers worldwide with leading brands. Based out of their major technology center in Bengaluru, the data engineering group designs custom data solutions utilizing Hadoop, Databricks, Python, and AWS cloud architecture.

Role Significance & Career Growth: The Software Engineer position within Epsilon's Data Engineering division is a premier career opportunity for engineering graduates across the 2022, 2023, 2024, and 2025 pass-out batches. In this role, you will design, develop, and optimize scalable big data platforms that process terabytes of data daily. You will work hands-on with Python, PySpark, Databricks, and AWS, gaining invaluable exposure to modern data ingestion pipelines, performance tuning, data governance, and generative AI integrations. This high-impact role provides a clear pathway into Senior Data Engineer, Big Data Architect, and Cloud Data Lead positions.

Current Industry Trends in Big Data & GenAI: Enterprise marketing platforms require ultra-fast data processing pipelines capable of handling massive streams of real-time consumer telemetry. The integration of Generative AI into data processing frameworks, automated data quality checks, and Databricks lakehouse architectures represents the absolute cutting edge of modern software engineering. Joining Epsilon puts you at the forefront of data-driven marketing innovation.

Software Engineer

Eligibility & Requirements

• Degree: BE / B.Tech / MCA (Regular full-time courses only; no correspondence degrees).
• Eligible Batches: 2022, 2023, 2024, 2025 pass-out graduates.
• Environment Experience: 3-5 years of experience working in a Linux or Unix environment.
• Core Tech Skills: 1-3 years of experience in Shell Scripting, SQL, and strong hands-on expertise in Python/PySpark. Knowledge of Databricks and AWS is a strong plus.
• Provide outstanding data processing and client data support, following detailed specifications for incoming and outgoing datasets.
• Design, develop, and optimize custom data processing solutions and pipelines in Databricks using Python/PySpark.
• Perform detailed analysis, troubleshooting, and Root Cause Analysis (RCA) for production data issues to maximize system reliability.

Python / PySpark Databricks & Hadoop AWS Cloud SQL & Shell Scripting Git & JIRA

2. Technical Interview (Data Engineering & PySpark)

Deep dive into PySpark dataframes, Spark optimization, Hadoop ecosystem, and AWS cloud concepts.

• How do you optimize a slow-running PySpark job handling terabytes of data?
• Explain transformations vs actions in Spark with examples.
• What are the differences between AWS S3 storage classes and how do you integrate them with Databricks?

Q: Is relocation required?

A: The role is based in Bengaluru with a hybrid work model.

4.2

Compensation

4.4

Learning

"Epsilon offers incredible exposure to massive scale big data platforms. The culture emphasizes collaboration, technical innovation, and continuous growth."

Disclaimer: This information is gathered directly from the company's official career site.

Copyright Note: Company logos and trademarks belong to their respective owners. This post is for public information sharing and educational purposes only.