Senior Data Engineer (GCP)

As a GCP Data Engineer, you will be responsible for implementing and architecting solutions on Google Cloud Platform using components of GCP. Your expertise in Apache Beam, Google Dataflow, and Apache Spark will be crucial in creating end-to-end data pipelines. Your experience in technologies like Python, Hadoop, Spark, SQL, Big Query, and others will play a vital role in delivering high-quality solutions. Key Responsibilities: - Implement and architect solutions on Google Cloud Platform - Create end-to-end data pipelines using Apache Beam, Google Dataflow, and Apache Spark - Utilize technologies like Python, Hadoop, Spark, SQL, Big Query, Cloud Storage, and others - Program in Java, Python, and other relevant languages - Demonstrate expertise in relational databases, analytical databases, and NoSQL databases - Identify downstream implications of data loads/migration - Automate data ingestion, transformation, and augmentation through data pipelines - Provide best practices for pipeline operations - Enable simplified user access to massive data by building scalable data solutions - Utilize advanced SQL writing and data mining techniques - Work in a rapidly changing business environment Qualifications Required: - 6-13 years of experience in IT or professional services with a focus on IT delivery or large-scale IT analytics projects - Expert knowledge of Google Cloud Platform; knowledge of other cloud platforms is a plus - Proficiency in SQL development - Experience in building data integration and preparation tools using cloud technologies - Certification in Google Professional Data Engineer/Solution Architect is advantageous - Ability to work with a variety of technologies including Java, Python, and others Please note that the additional details of the company were not provided in the job description.,