GCP Data Engineer

Job description

GCP Data Engineer Experience- 12 months to 20th months excluding internship Notice period- 0 to 15 days **Job Requirement:** Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines. Experience in some of the following: Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning. Experience programming in Hadoop, PySpark/Python, SQL. Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases. Certified in Google Professional Data Engineer/Solution Architect is a major Advantage. **Skills Required:** Bachelor's or Master's degree in Computer Science, Engineering or a related field. Design, develop, and deploy scalable ETL/ELT pipelines using PySpark on GCP. Utilize GCP services extensively, including BigQuery (data warehousing), Cloud Storage, Dataproc and Dataflow. Optimize PySpark jobs for performance and reliability, and fine-tune BigQuery queries. Implement complex transformations and process large volumes of structured/unstructured data using Spark SQL and PySpark. Build and manage automated workflows using Apache Airflow or Cloud Composer. Strong proficiency in Python and SQL is essential. Extensive hands-on experience with PySpark. Proven experience with Google Cloud Platform (GCP) services.