GCP Data Engineer / Analyst

Job Description As a GCP Data Engineer/Analyst, you will be a crucial part of the team responsible for designing, developing, and maintaining the data infrastructure on Google Cloud Platform (GCP). Your expertise in GCP resources and SQL will drive data-driven decision-making across the organization. **Responsibilities:** - Collaborate with cross-functional teams to understand data requirements and design efficient GCP solutions. - Develop and optimize complex SQL queries for data extraction, transformation, and analysis. - Utilize BigQuery to manage and process large datasets, ensuring optimal performance and scalability. - Implement data pipelines using Pub/Sub and Dataflow for real-time data ingestion and processing. - Work with Dataproc to manage and process batch data jobs efficiently. - Create and maintain data models, ensuring data accuracy, consistency, and integrity. - Collaborate with data analysts and stakeholders to build interactive reports and dashboards in Looker. - Monitor and troubleshoot data pipelines, resolving any issues in a timely manner. - Stay up-to-date with GCP advancements and recommend best practices to enhance data processing and analysis. **Qualifications:** - Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience). - Strong proficiency in SQL with the ability to write efficient, complex queries. - Extensive hands-on experience with GCP services, including BigQuery, Pub/Sub, Dataflow, Dataproc, and Looker. - Solid understanding of data modeling, ETL processes, and data warehousing concepts. - Proven track record of designing and implementing scalable and reliable data solutions. - Excellent problem-solving skills with a keen attention to detail. - Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Experience with programming languages like Python or Java is a plus. - GCP certifications (e.g., Google Cloud Professional Data Engineer) are a strong advantage. Join our dynamic team and contribute to our data-driven initiatives that shape the future of our organization. If you are passionate about GCP and have a knack for turning data into insights, we want to hear from you! As a GCP Data Engineer/Analyst, you will be a crucial part of the team responsible for designing, developing, and maintaining the data infrastructure on Google Cloud Platform (GCP). Your expertise in GCP resources and SQL will drive data-driven decision-making across the organization. **Responsibilities:** - Collaborate with cross-functional teams to understand data requirements and design efficient GCP solutions. - Develop and optimize complex SQL queries for data extraction, transformation, and analysis. - Utilize BigQuery to manage and process large datasets, ensuring optimal performance and scalability. - Implement data pipelines using Pub/Sub and Dataflow for real-time data ingestion and processing. - Work with Dataproc to manage and process batch data jobs efficiently. - Create and maintain data models, ensuring data accuracy, consistency, and integrity. - Collaborate with data analysts and stakeholders to build interactive reports and dashboards in Looker. - Monitor and troubleshoot data pipelines, resolving any issues in a timely manner. - Stay up-to-date with GCP advancements and recommend best practices to enhance data processing and analysis. **Qualifications:** - Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience). - Strong proficiency in SQL with the ability to write efficient, complex queries. - Extensive hands-on experience with GCP services, including BigQuery, Pub/Sub, Dataflow, Dataproc, and Looker. - Solid understanding of data modeling, ETL processes, and data warehousing concepts. - Proven track record of designing and implementing scalable and reliable data solutions. - Excellent problem-solving skills with a keen attention to detail. - Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Experience with programming languages like Python or Java is a plus. - GCP certifications (e.g., Google Cloud Professional Data Engineer) are a strong advantage. Join our dynamic team and contribute to our data-driven initiatives that shape the future of our organization. If you are passionate about GCP and have a knack for turning data into insights, we want to hear from you!