This role has closed. Infosys has taken the posting down.
hirly last saw it live on 30 September 2026. See similar open roles below, or browse all Data Engineer jobs in Hyderabad.
Infosys
Senior GCP BQ Data Engineer
Hyderabad, India
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hirly's read of this role
- Role family
- Data & ML
- Seniority
- Senior
- Country
- IN
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting.
the posting
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.
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 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.
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.
Education
MBA,MCA,ME,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech