Google Bigquery is a fully-managed, serverless data warehouse designed for large-scale data analytics. It allows users to run fast SQL queries using the processing power of Google's infrastructure, enabling quick analysis of massive datasets without the need for managing physical hardware or database administration.
About Google Bigquery
Google Bigquery was launched in 2011 as a part of Google Cloud Platform. It was developed to address the need for scalable, efficient data warehousing and analytics, leveraging Google's infrastructure to handle large datasets and complex queries quickly. The service aimed to simplify big data analysis by eliminating the need for managing physical hardware and database administration.
Strengths of Google Bigquery include its scalability, speed, and serverless architecture, which eliminate the need for infrastructure management. Weaknesses include potential high costs for large-scale queries and data storage. Competitors include Amazon Redshift, Microsoft Azure Synapse Analytics, and Snowflake.
Hire Google Bigquery Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Google Bigquery expert
A Google Bigquery expert must have strong SQL skills, experience with ETL (Extract, Transform, Load) processes, proficiency in data modeling and schema design, knowledge of BigQuery's specific functions and features, and familiarity with integrating BigQuery with other Google Cloud Platform services.
Fábio P.
Skills
Technology professional with over 15 years of experience, initially specializing in infrastructure, possessing extensive knowledge in networks, servers, technology management, and support team leadership. In recent years, a focus has shifted towards data culture, intensifying expertise in engineering, data analysis, and cloud services. This includes experience in system integrations, ETL routines, development of data pipelines, and the management of both Data Warehouse and Data Lake systems, coupled with a strong business acumen.
Marcos A.
Skills
An IT professional possessing over 14 years of industry experience, with a career that began in computer maintenance and evolved into a deep expertise in technology. Specialized in object-oriented programming since 2010, with advanced proficiency in Java and C#. This individual has demonstrated a commitment to continuous skill development and knowledge acquisition, remaining at the forefront of technological advancements. Their professional focus lies in developing innovative and efficient solutions, collaborating with multidisciplinary teams, and employing cutting-edge technology to address complex problems. With a solid history of successfully executed IT projects, their ongoing objective is to apply their extensive skills and knowledge to novel challenges.
Pedro L.
Skills
A Computer Engineer from the Federal University of Pará, specializing in Python programming. Currently, serves as a Data Engineer with expertise in managing high-volume data in Big Data environments and automating processes.
João V.
Skills
With a strong passion for data and extensive experience in Business Intelligence projects, this professional integrates technical prowess and business insights to enhance organizational decision-making. Expertise encompasses dashboard development using Power BI, and script creation for data integration and extraction utilizing Python. Proficiency extends to data development, extraction, and input through TSQL, as well as data tasks using PL/SQL. Additionally, this individual is adept at developing integration packages and ETL processes with Integration Services (SSIS), managing backup routines, and maintaining MS SQL Server. Skills also include dimensional and relational data modeling, conducting integrations, and performing requirements analysis.
Renato F.
Skills
A career centered on processes, systems, and statistics defines my professional trajectory, with a focus on leveraging these elements to generate optimal solutions. As an engineer, I continually hone skills in each discipline independently and in combination.
My journey began in 2011 against the backdrop of devastating floods and mudslides in Rio de Janeiro's highlands. Volunteering at a local Baptist church, I created processes, spreadsheets, and reports to efficiently manage donations. This initiative successfully documented over 50 tons of food and registered more than 500 families within a month, showcasing the critical importance of these tools.
During my academic tenure, I served as a tutor in Statistics, aiding engineering students and leading 86% to achieve above-average grades over two semesters. As a researcher at the university's sustainable systems study center, I earned two solar energy certificates through a UN training program. Additionally, I participated in a robotics project, where my leadership resulted in our team winning a line-follower robot challenge by being the only group to produce a fully functional robot within the given timeframe.
These collective experiences facilitated my entry into Volkswagen Caminhões e Ônibus as an intern in the Purchasing Department. There, I developed new databases, metrics, dashboards, and proposed a knowledge management intranet system for the entire company. I also managed change processes for electrical parts, achieving zero pending or delayed analyses.
Currently, I oversee process mapping, IT systems, and statistical reporting for New Programs, Forward Sourcing, and Special Vehicles purchasing divisions. As the SAP MM Key User, I offer technical support, fulfill requirements, and collaborate on testing and enhancements with IBM. Beyond my regular responsibilities, I am actively developing new solutions utilizing databases, scripting, data visualization, and other BI technologies, while nearing the completion of my Master’s Degree.
In essence, my commitment lies in fostering an efficient work environment for my colleagues and delivering superior results for my organization.
Gabriel C.
Skills
An accomplished full-stack developer with two years of extensive experience in Java development utilizing Spring Boot for backend services, Angular for frontend interfaces, and Oracle for database management. Demonstrates proficiency in managing the complete application lifecycle, incorporating continuous integration and continuous deployment (CI/CD) processes, and deploying applications on Google Cloud Platform (GCP). Additionally, possesses expertise in developing data processing modules using Google DataFlow. Skilled in various other technologies including MySQL, Python with Flask, and Vue.js, along with programming languages such as C, Delphi, and PHP. Complemented by a robust background in electronics, boasting eleven years of professional experience, with three years specifically focused on hardware development.
Leandro S.
Skills
Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.
Marcus P.
Skills
An experienced professional with over nine years of expertise in web systems development and infrastructure. Demonstrates robust knowledge in a variety of programming and scripting languages, including Python and Shell Script, alongside proficiency with version control systems like Git. Possesses in-depth understanding and practical experience with containerization technology, specifically Docker, and cloud service platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS). Proficient in administering and operating both Linux and Windows operating systems, with substantial skills in data engineering and systems architecture.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.