Data Engineer Data Platforms (Google Cloud) (Gurugram)

/p> 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 BigQuery Build and optimize data warehouse solutions and data lake architectures Work with BigQuery, BigQuery 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 Robust hands -on experience in GCP (must have) Expertise in BigQuery, BigQuery ML, SQL Experience in Data Engineering, Data Warehouse, and ETL pipelines Strong knowledge of Spark, PySpark, Kafka, Hive, Big Data fundamentals Experience with Dataflow, Dataproc, Pub/Sub, Airflow (Composer) Strong debugging, performance tuning, and optimization skills /p> 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 BigQuery Build and optimize data warehouse solutions and data lake architectures Work with BigQuery, BigQuery 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 Robust hands -on experience in GCP (must have) Expertise in BigQuery, BigQuery ML, SQL Experience in Data Engineering, Data Warehouse, and ETL pipelines Strong knowledge of Spark, PySpark, Kafka, Hive, Big Data fundamentals Experience with Dataflow, Dataproc, Pub/Sub, Airflow (Composer) Strong debugging, performance tuning, and optimization skills