Infosys is seeking an experienced Senior GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, Dataflow, Apache Airflow, Cloud Composer, Cloud Spanner, and cloud-native data engineering solutions.

Design, develop, and maintain enterprise-scale data engineering solutions on Google Cloud Platform (GCP).

Build scalable ETL/ELT pipelines using Dataflow, Apache Beam, BigQuery, and Cloud Composer (Airflow).

Design and optimize BigQuery data warehouses for large-scale analytics and reporting.

Develop batch and real-time data pipelines using Dataflow and GCP-native services.

Implement workflow orchestration using Apache Airflow / Cloud Composer.

Design and manage data models and schemas in Cloud Spanner and BigQuery environments.

Integrate multiple data sources using GCP services such as Pub/Sub, Cloud Storage, Cloud Functions, and Dataflow.

Monitor, troubleshoot, and optimize pipeline performance, reliability, and scalability.

Collaborate with architects, business stakeholders, and development teams to deliver cloud data

8 to 12 years of experience in Data Engineering, Big Data, and Cloud Data Platforms.

Strong hands-on experience with Google Cloud Platform (GCP).

Expertise in BigQuery for data warehousing, analytics, and performance optimization.

Strong experience with Dataflow and Apache Beam for large-scale data processing.

Experience with Apache Airflow and/or Cloud Composer for workflow orchestration.

Hands-on experience with Cloud Spanner and distributed database concepts.

Strong programming skills in Python and SQL.

Experience building enterprise-grade ETL/ELT pipelines.

Knowledge of Pub/Sub, Cloud Storage, Cloud Functions, and other GCP services.

Strong understanding of data modeling, performance tuning, and data integration.

Experience with version control systems such as Git.

Knowledge of CI/CD, DevOps practices, and Agile methodologies.