Google Cloud Platform BigQuery is a fully-managed, serverless data warehouse designed for large-scale data analysis. It allows users to run fast SQL queries against multi-terabyte datasets in seconds, offering real-time analytics and insights without the need for infrastructure management.

About Google Cloud Platform BigQuery
Google Cloud Platform BigQuery was introduced by Google in 2010 as a part of its cloud services to address the need for handling large-scale data analytics. It was designed to provide a scalable and efficient solution for processing and analyzing vast amounts of data quickly, leveraging Google's infrastructure and expertise in managing big data.
Strengths of Google Cloud Platform BigQuery include its serverless architecture, scalability, and speed in processing large datasets. It offers seamless integration with other Google Cloud services and supports real-time analytics. Weaknesses may involve costs associated with high query volumes and potential complexity for users unfamiliar with SQL or cloud environments. Competitors include Amazon Redshift, Microsoft Azure Synapse Analytics, and Snowflake.
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How to hire a Google Cloud Platform BigQuery expert
A Google Cloud Platform BigQuery expert must have skills in SQL for querying and analyzing data, understanding of data warehousing concepts, and proficiency in using Google Cloud Platform services. They should be adept at optimizing query performance, managing access controls, and integrating BigQuery with other tools and services like Data Studio or Looker. Familiarity with scripting languages like Python for automation and data manipulation is also beneficial.

Mirhay P.
Skills
A graduate in Systems Analysis and Development with an MBA in Strategic Business Process Management, possessing over six years of experience in digital products with a focus on innovation and digital transformation. Demonstrates a strong capability in leading high-performance teams dedicated to delivering value. Currently managing services as a Project Manager for a new application, emphasizing process optimization and ensuring continuous customer satisfaction.

Jessica G.
Skills
Jessica is a visual communication designer with 5 years of experience in UX/UI, mainly working with Javascript, CSS, HTML, Figma and Adobe with an emphasis in visual design interfaces.

Mayara V.
Skills
Data Coordinator and Tech Lead with nine years of experience in data analysis, holding a PhD in Computational Neuroscience. Demonstrates expertise in managing and maintaining large datasets, identifying patterns, and relaying critical insights to cross-functional teams. Adept at leading multidisciplinary groups comprising data scientists, analysts, and engineers. Proficient in data visualization and KPI analysis, facilitating the conversion of data into actionable business insights. Possesses strong communication skills and excels at bridging the gap between technical and business teams. Competent in utilizing tools such as SQL, Python, and Microsoft PowerBI for problem-solving and data exploration. Experienced in applying Agile methods within fast-paced and dynamic technology environments. Seeking a challenging role to apply extensive skills and experience in data management.

Paulo B.
Skills
Dynamic and creative professional with over a decade of experience in the IT field, specializing in decision-support solutions. Expertise as a BI and Power BI Analyst is marked by a multilinear approach rooted in contemporary business rules. Implemented processes significantly enhance operational result control and measurement levels. Dedicated to transforming data into actionable information, consistently driving insights for continuous improvement.

Rafael C.
Skills
A specialist in data collection, cleaning, and report generation and presentation with experience in serving multinational enterprises. Proficient in generating actionable insights by aligning audience engagement with strategic client objectives.

Márcio R.
Skills
Electrical Engineering graduate with a focus on Power Generation Systems and Electric Power Systems from the Federal University of Mato Grosso, possessing four years of experience as an Energy Efficiency Manager in the Sanitation sector. Expertise in Data Science for digital marketing includes web analytics, data analytics for sales funnel enhancement, growth marketing metrics, lead behavior analysis, and automated reporting via the Google Marketing Platform. Proficient in implementing CRM and Business Intelligence tools, with a keen interest in advancing skills in Data Analysis, Big Data, Business Intelligence, and Web Analytics to enhance performance indicators and sales in the Marketing domain.

David O.
Skills
Developer, systems analyst, and entrepreneur with over 14 years of experience specializing in web project development and team management, demonstrating effective communication, teamwork, negotiation, and conflict management strategies informed by business administration training.
Through a user-centered approach and commitment to technical excellence, has successfully led development teams on complex projects, consistently delivering high-quality products that surpass customer expectations. Proficient in agile methodologies and Scrum, promoting seamless collaboration in dynamic team settings.
Expertise in Business Intelligence encompasses the use of tools such as Power BI, Power Query, and Excel, focusing on data transformations, queries, and exploratory analysis to derive insights and solve problems. This role has emphasized the generation of performance metrics and indicators to bolster strategic decision-making processes.
Operating from Santa Catarina with a proven track record across multiple regions, known for determination, proactivity, and a readiness to embrace challenges. Available for travel, self-reliant on transportation, committed to significant professional and personal achievement.

Eduardo F.
Skills
Eduardo is a System Administrator with 23 years of experience in the IT industry. Specializing in Windows environments, Eduardo's experience spans Active Directory, AWS, GCP, Microsoft technologies, VMware, and Kubernetes.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
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