Job Description
High-CTC Opportunity: Build Scalable Data Pipelines for Global Brands!
Are you a 2025 or 2026 graduate with a talent for handling big data? Epsilon India is recruiting Data Engineers for their Bangalore tech hub. As a Data Engineer, you will be part of the “Digital Integration Services” team, building the infrastructure that transforms raw, unstructured data into actionable marketing intelligence using modern cloud and AI stacks.
✨ Job Highlights & Quick Details
| Detail | Information |
| Role Name | Data Engineer (Associate / New Grad) |
| Company | Epsilon (Publicis Groupe) |
| Qualification | B.E / B.Tech / M.E / M.Tech (CS/IT preferred) |
| Batch Eligible | 2024, 2025, and 2026 Graduates |
| Experience | Freshers – 1 Year |
| CTC (Salary) | ₹10 LPA to ₹15 LPA (Industry Best) |
| Location | Bangalore (Hybrid) |
Keyword Focus: Epsilon Off Campus Hiring 2026, Data Engineer Jobs Bangalore for Freshers, Epsilon Recruitment 2026 Batch, Data Engineering Salary India, Big Data Jobs for B.Tech Bihar.
💡 Why Epsilon is a Data Engineer’s Dream
- Unrivaled Data Scale: Work on platforms that process millions of transactions per second and manage petabytes of consumer data.
- Modern Tech Stack: You will gain hands-on experience with Databricks, PySpark, Snowflake, AWS/Azure, and Airflow.
- Mentorship & Growth: Epsilon’s “New Grad Program” includes structured training, speed networking sessions, and a dedicated buddy to help you transition from campus to corporate.
- Global Impact: Your work directly influences how the world’s biggest brands interact with their customers.
📝 Key Responsibilities
As a Data Engineer, you will handle the “First Mile” of the customer experience:
- Pipeline Design: Build and optimize robust ETL (Extract, Transform, Load) pipelines to ingest data from APIs, databases, and third-party services.
- Data Modeling: Design schema architectures (Star/Snowflake) that ensure data integrity and high-speed query performance.
- Automation: Write Python and Shell scripts to automate routine data tasks and monitor pipeline health.
- Collaboration: Partner with Data Scientists to ensure machine learning models have clean, real-time data for training and inference.
- Scalability: Implement improvements to re-design infrastructure for greater scalability and optimize data delivery.
🎓 Eligibility Criteria & Selection Process
Epsilon seeks “smart, highly driven individuals” with strong analytical foundations:
- Education: High academic standing in a Bachelor’s or Master’s engineering degree.
- Coding Skills: Proficiency in Python or Java and a deep understanding of SQL (Joins, Window Functions, Indexing).
- Core Concepts: Strong grasp of Data Structures (DSA), DBMS, and Cloud fundamentals (AWS/Azure).
- Communication: Ability to explain complex technical designs to non-technical stakeholders.
- Selection Rounds:
- Online Assessment (OA): Conducted on the Mettl platform; includes Aptitude, SQL, and a Coding question.
- Technical Interview 1: Deep dive into your projects, SQL queries, and Python/Pandas concepts.
- Technical Interview 2: Focuses on DSA (Medium level), API integration, and System Design basics.
- Behavioral/Managerial Round: Checks cultural fit, motivation, and problem-solving mindset.
➡️ How to Apply for Epsilon Data Engineering Role
- Click the official application link below.
- Resume Tip: Highlight any projects involving SQL, Big Data, or Cloud (even academic ones). Mention specific tools like Spark or AWS if you’ve used them.
- Ensure your LinkedIn profile is updated, as Epsilon recruiters are very active on the platform.