Description
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 modern 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 contemporary data lakehouse architectures using BigQuery and related cloud technologies.
- Optimize data pipelines and BigQuery workloads for performance, scalability, reliabili

📌 Data Engineer III (Chennai)
🏢 Pearson
📍 Chennai