Data Engineer

WPP; Chennai; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

WPP is seeking a Data Engineer to join their Enterprise Data Group in Chennai, Tamil Nadu. In this role, you will design and implement scalable data solutions, focusing on data ingestion, processing, and analytics using Databricks. You'll work closely with data architects and cross-functional teams to deliver high-quality solutions. The position offers a hybrid working model and the chance to work on unique challenges in an inclusive and collaborative environment.

Qualifications

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models.
• 3+ years of experience in Python and SQL.
• Experience using Databricks platform and PySpark is a must.
• Ideally experience in Kafka, Delta Lake, Pandas.
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Responsibilities

• Design, build, test and maintain data pipelines according to business and technical requirements.
• Implement secure platforms with data governance.
• Play a key role in automation and building leading solutions.
• Propose technical designs and develop integrations.
• Deliver data warehousing solutions and key data engineering workstreams.
• Support cross-functional teams across the data space.

Skills

Python

SQL

Databricks

PySpark

Apache Kafka

Delta Lake

Pandas

CI/CD

Agile practices

Job description

Position Overview

As a Data Engineer in the WPP Enterprise Data Group, you will be responsible for the design and implementation of scalable data solutions providing enterprise‑scale data transformation across a broad range of projects.

Your role will focus on delivering solutions that utilize large‑scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. As part of a team, you will implement world‑class solutions designed by our data architects. Your responsibilities will include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure using key technologies like Databricks.

As a hands‑on technologist with an extensive data engineering background using Databricks, you will be joining a group of Data Engineers who are passionate about building the best possible solutions for our business and endorse a culture of life‑long learning and collaboration.

Responsibilities

• Design, build, test and maintain data pipelines (ELT), according to business and technical requirements.
• Implement secure platforms with data governance in mind.
• Play a key role in automation and building industry leading solutions against architectural best practices.
• Propose technical designs and develop integrations.
• Design & deliver data warehousing solutions and key data engineering workstreams for any required solution.
• Support cross‑functional teams across the data space.

Qualifications

• 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models.
• 3+ years of experience in Python and SQL.
• Experience using Databricks platform and PySpark is a must.
• Ideally experience in the following – Kafka, Delta Lake, Pandas.
• A demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps.
• Fluency in English.
• Exposure to AI & ML technologies is a plus.

Who You Are

You're open‑minded. We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views.

You're optimistic. We believe in the power of creativity, technology and talent to create brighter futures for our people, our clients and our communities.

You're extraordinary. We are stronger together; through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

Benefits and Work Environment

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

Hybrid working model – Teams in the office around four days a week. If you require accommodations or flexibility, discuss this with the hiring team during the interview process.

Equal Opportunity Statement

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.