Data Engineer – Data Platforms (Google Cloud)
Gurgaon, Haryana, IndiaFull timePosted May 29, 2026
Job description
? Hiring: Data Engineer – Data Platforms (Google Cloud) ? Location: Gurgaon Work Mode: Work From Office (Day 1 Mandatory) Interview Mode: Face-to-Face (Mandatory) We are looking for an experienced Data Engineer – Google Cloud Platform (GCP) with strong expertise in building scalable data pipelines and cloud-based data solutions.
Key Responsibilities
- Design, build, and operationalize batch & real-time data pipelines on GCP
- Develop data solutions using Dataflow, Dataproc, Pub/Sub, and Big. Query
- Build and optimize data warehouse solutions and data lake architectures
- Work with Big. Query, Big. Query ML, Cloud Storage, Cloud SQL, Spanner, and Bigtable
- Perform Spark job optimization, debugging, and performance tuning
- Manage data workflows using Cloud Composer (Airflow) and Cloud Scheduler
- Build and support data ingestion pipelines (batch & streaming)
- Work with stakeholders to deliver scalable data engineering solutions Required Skills:
- 8+ years total experience, 7+ years relevant experience
- Strong hands-on experience in GCP (must have)
- Expertise in Big. Query, Big. Query ML, SQL
- Experience in Data Engineering, Data Warehouse, and ETL pipelines
- Strong knowledge of Spark, Py. Spark, Kafka, Hive, Big Data fundamentals
- Experience with Dataflow, Dataproc, Pub/Sub, Airflow (Composer)
- Strong debugging, performance tuning, and optimization skills