Lead Data Engineer - Google Cloud Platform

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, 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 Proven experience with Google Cloud Platform (GCP) services. Relevant certifications on google cloud is an added advantage. (ref:hirist.tech)