Educational Requirements

Bachelor of Engineering,BTech,BCA,BSc,ME,MTech,MCA,MSc,MBA

Service Line

Data Analytics Unit

Responsibilities

- 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

Technical and Professional Requirements:
- 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.
- Solid 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.

Preferred Skills:
- Technology->Big Data->Big Table->GCP
- Technology->Cloud Platform->GCP Core Services

📌 Senior GCP BQ Data Engineer (Hyderabad)
🏢 Infosys
📍 Hyderabad