NXT GIG is on the lookout for a talented GCP Data Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and managing data processing and storage solutions on Google Cloud Platform (GCP). Your expertise will play a crucial role in building robust data pipelines that facilitate the analysis of large datasets, ensuring data accessibility and reliability for our analytics teams. You will collaborate closely with data scientists and other stakeholders to translate business requirements into technical solutions. The ideal candidate will have a strong background in cloud-based data engineering, a deep understanding of GCP services, and a passion for creating efficient data systems. If you are excited about leveraging cloud technology to drive data solutions, we would love to hear from you. Responsibilities Design and implement data pipelines using GCP services such as BigQuery, Dataflow, and Cloud Storage. Collaborate with cross-functional teams to gather data requirements and ensure seamless data integration. Monitor and optimize data processing workflows for performance and cost efficiency. Ensure data quality and integrity by implementing data validation and cleansing processes. Develop and maintain documentation for data architectures, processes, and pipelines. Stay current with GCP advancements and best practices in data engineering. Support data analysis and reporting initiatives by providing reliable and accessible data. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, specifically with Google Cloud Platform (GCP). Strong understanding of GCP services, including BigQuery, Dataflow, and Pub/Sub. Experience with data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and programming languages such as Python or Java. Familiarity with data governance and data quality practices. Excellent problem-solving skills and the ability to communicate effectively with technical and non-technical audiences.
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