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Developer - Data Engineering

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Onsite

Developer - Data Engineering

Omnicom Global Solutions

Developer - Data Engineering

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringPythonAmazon RedshiftAWSLinuxApache AirflowHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Overview

Job Title: Data Engineer

Location: Bangalore / Chennai / Coimbatore / Hyderabad

Position: Full-time

Department: Technology Solutions

Position Overview

Join us at OGS

We are OGS—Omnicom's Integrated Solutions Engine that brings together a global talent community and connected capabilities in data, creative, media, commerce, and technology to build adaptive, future-ready solutions.

We are redefining the global capability center - not as an offshoring hub, but as a true inside edge. OGS is the place where the future is tested, built, and scaled for the world’s most ambitious agencies and clients.

With over 4300+ talented professionals in India, we are proud to be a diverse, inclusive, and collaborative community that thrives on innovation and excellence. Our teams work with some of the world’s most iconic brands, helping them move faster and achieve more—everywhere. We are growing rapidly and looking for passionate individuals to be part of this journey.

Responsibilities

  • Design, build, test and deploy scalable and reusable systems that handle large amounts of data.
  • Collaborate with product owners and data scientists to build new data products.
  • Ensure data quality and reliability.

Qualifications

  • Experience designing and managing data flows.
  • Experience designing systems and APIs to integrate data into applications.
  • 4+ years of Linux, Bash, Python, and SQL experience
  • 2+ years using Spark and other frameworks to process large volumes of data.
  • 2+ years using Parquet, ORC, or other columnar file formats.
  • 2+ years using AWS/GCP/Azure cloud services, esp. services that are used for data processing e.g. Glue, Dataflow, Data Factory, EMR, Dataproc, HDInsights , Athena, Redshift, BigQuery etc.
  • Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges.

Additional Skills

  • BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience (You've learned something to be able to claim you are an engineer)
  • Significant experience with Python, C++, or other popular language
  • Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, i.e., partitioning, clustering, file sizes, file formats. Data cataloging with Hive/Hive metastore or Glue or something similar.
  • Experience working with relational databases.
  • Experience with Hadoop, Hive, Spark, or other data processing tools
  • Experience building scalable data pipelines (Airflow experience a plus)
  • Significant experience working with AWS and/or GCP.
  • Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product.

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