Data Engineer – Global Data Team

Role Overview

We are looking for an experienced Data Engineer with 6–10 years of hands-on
experience to join our Global Data team and help build reliable, scalable, and
self-service data platforms that power enterprise-wide analytics and data
products.

In this role, you will design, develop, and optimize contemporary cloud-based data
platforms, lakehouse architectures, and distributed data pipelines. You will
work extensively with technologies such as Google Cloud Platform (GCP), Google
BigQuery, GCP Data engineering services, Data flow, Data Fusion, Data Streams,
Cloud Storage, Cloud Composer/Airflow, dbt, Python, and SQL, while contributing
to data governance, observability, automation, and AI-powered data engineering
capabilities.

The ideal candidate is a hands-on engineer who enjoys solving complex data
challenges, building reusable engineering frameworks, improving platform
reliability, and enabling data teams through scalable self-service capabilities.

Key Responsibilities

* Design, develop,



and maintain scalable ETL/ELT data pipelines supporting
enterprise data products and analytics.
* Build and optimize data solutions using Google BigQuery, GCS, Cloud
Composer/Airflow, dbt, Python, and SQL.
* Develop robust data ingestion and transformation pipelines from databases,
SaaS applications, APIs, files, and other enterprise data sources.
* Implement and maintain API integrations and data ingestion frameworks for
cloud and enterprise applications.
* Develop reusable dbt models, transformation frameworks, and data quality
processes.
* Build and manage workflow orchestration using Apache Airflow / Google Cloud
Composer.
* Work with CDC and data ingestion technologies such as Informatica CDC,
Airflow, Composer, dbt, or similar platforms.
* Design and implement modern data lakehouse architectures using BigQuery and
related cloud technologies.
* Optimize data pipelines and BigQuery workloads for performance, scalability,
reliability, an

📌 Data Engineer III (Chennai)
🏢 Pearson
📍 Chennai