Job Overview:

We are looking for a GCP Data Engineer with 58 years of experience in Data Engineering, Big Data, or Cloud Data Platform implementations. The candidate should have robust hands-on expertise in Google Cloud Platform, building scalable ETL/ELT pipelines, data warehousing, distributed data processing, and cloud-based data engineering solutions.

Key Responsibilities:
Design, develop, and deploy scalable ETL/ELT pipelines on Google Cloud Platform.
Architect and implement end-to-end data solutions using GCP services.
Build and optimize data processing applications using PySpark, Spark SQL, Dataflow, and Dataproc.
Develop data ingestion, transformation, and data quality frameworks for structured and unstructured data.




Implement and manage automated workflows using Apache Airflow or Cloud Composer.
Design and optimize data warehouse solutions using BigQuery.
Utilize GCP services including Cloud Storage, BigQuery, Dataproc, Dataflow, Cloud SQL, Bigtable, Datastore, and Spanner.
Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
Collaborate with business and technology teams to support analytics and reporting requirements.
Ensure adherence to data governance, security, and cloud best practices.

📌 Gcp Data Engineer Telangana (India)
🏢 Experis
📍 India