- Design, develop, test, and deploy scalable and reliable data processing pipelines using Java 17+ and Apache Beam, executed on GCP Cloud Dataflow.

- Build and manage data orchestration workflows using Apache Airflow or GCP Cloud Composer, including creating and maintaining DAGs with common and custom operators.

- Work extensively with GCP Big Data services such as BigQuery, BigTable, Cloud SQL, and Google Cloud Storage (GCS) for data ingestion, transformation, storage, and optimization.

- Write, optimize, and review complex SQL queries for data retrieval and analysis, particularly within BigQuery and Cloud SQL.

- Maintain high standards of code quality, testing, documentation, and best practices.

- Collaborate with cross-functional teams (Data Engineers, Cloud Architects, Developers) to deliver robust and scalable cloud solutions.

Mandatory Skills :

- Strong knowledge of GCP

- Proficiency in Java 17+

- Experience with GCP Cloud Dataflow (Apache Beam SDK)

- Hands-on with Airflow/Composer - creating and managing DAGs, operators

- Strong understanding of GCP Big Data services - BigQuery, BigTable, GCS, Cloud SQL

- Excellent SQL query writing and optimization skills

Good-to-Have Skills :

- Experience with GKE (Google Kubernetes Engine)

- Understanding of IAM (Identity and Access Management)

- Exposure to Cloud Spanner

- Experience developing secure API endpoints

- Knowledge of containerization and microservices

Notice period : 0 to 15days only

Bachelor's degree in Computer Science, Engineering, or related field.

Skills : Gcp, Java, Cloud dataflow