Snowflake is a cloud-based data warehousing platform that enables the storage, processing, and analysis of large volumes of data. It provides a scalable and flexible architecture, allowing users to perform complex queries and analytics with high performance and minimal management overhead.

About Snowflake
Snowflake was created in 2012 by Benoit Dageville, Thierry Cruanes, and Marcin Zukowski. It was designed to address the limitations of traditional data warehouses by providing a scalable, cloud-native solution for data storage and analytics.
Strengths of Snowflake include its scalability, ease of use, and high performance for complex queries. Weaknesses involve its cost structure, which can become expensive with high usage, and potential data latency issues. Competitors include Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse Analytics.
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How to hire a Snowflake expert
A Snowflake expert must have skills in SQL, data warehousing concepts, cloud computing (particularly AWS, Azure, or Google Cloud), ETL processes, and performance tuning. Familiarity with Snowflake-specific features such as virtual warehouses, data sharing, and time travel is also essential.

Thiago A.
Skills
Seasoned Business Analyst with extensive expertise in business analysis, modeling, and a range of data management tools, including T-SQL, PL/SQL, ETL tools, environment maintenance, data lake support, and data visualization platforms. Adept at fostering effective communication and building professional relationships. Demonstrates a strong passion for business analytics, indicator creation, and data transformation.

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.

Alvacir L.
Skills
Business Intelligence and Data Science Developer with a degree in Computer Science and specialization in ETL structuring. Demonstrates robust proficiency in creating advanced dashboards using DAX measures in Power BI. This expertise is complemented by a proactive approach to improving data processes, ensuring data analysis efficiency, and facilitating informed decision-making.

Kaio K.
Skills
Data Analyst with over 3 years of experience, specializing in data-driven business operations, strategies, and decision-making with a focus on product enhancement. Expertise encompasses mapping product flow, identifying key efficiency metrics, and translating data into actionable strategies for product improvement. Skilled in managing data pipelines, including determining necessary data sources for performance metrics tracking and implementing and maintaining pipelines using industry best practices from DBT. Technical proficiencies include SQL, DBT, Python, along with comprehensive experience in agile workflow processes, project management, and detailed data analysis and process automation. Competent in implementing data-centered strategies such as AB testing and performance analysis, which guide strategic decisions and enhance conversion rates. Demonstrated ability to lead and complete complex projects using platforms like Jira and Notion, ensuring optimized collaboration, thorough tracking, and timely project delivery.

Cauan C.
Skills
A versatile generalist professional with extensive experience in business strategy, sales, digital marketing, and operations, focusing on a career in data and business intelligence. Demonstrates strong analytical abilities and adept storytelling skills. Actively promotes a data-driven culture and is dedicated to continuous development and learning.

Miquéias R.
Skills
Experienced Full Stack Developer with a solid background in technology and extensive web development expertise. Proficiencies include Python, Django, PostgreSQL, JavaScript, and Angular. Demonstrates specialization in constructing robust, scalable web applications and engaging in the development of complex systems. Proficient in architectural analysis and the implementation of automated tests to ensure quality. Skilled in API integration and technical problem-solving. Maintains a commitment to continuous learning and stays abreast of the latest technological trends.

João V.
Skills
An educational background in computer engineering and experience with a range of programming languages underscore a versatile and knowledgeable professional with a strong focus on technology. Proficiency in data structures, algorithms, and software development principles reinforces technical expertise. The ability to collaborate effectively in team environments and convey technical concepts to non-technical stakeholders demonstrates valuable communication skills. A commitment to learning new technologies and methodologies reflects a continuous pursuit of skill enhancement.

Carlos E.
Skills
With 14 years of expertise in Business Intelligence and Analytics and an additional 19 years in Information Technology, I specialize in the development and deployment of Data Warehouses, ETL processes, data analysis, and the creation of comprehensive reports and dashboards. My professional career is marked by a commitment to transforming complex data into actionable insights, thereby supporting strategic decision-making and enhancing organizational performance. Significant contributions have been made to various projects through the application of technical skills and extensive knowledge of BI tools.
Continual professional development is a priority, staying abreast of advancements in BI and Analytics technologies and methodologies. This dedication ensures the delivery of innovative, efficient solutions tailored to the evolving needs of the business environment.
Technical proficiencies include:
In Business Intelligence, expertise spans tools like MicroStrategy, Tableau, OBIEE, Oracle Retail Merchandise Analytics (ORMA), Oracle Retail Data Warehouse (ORDW), and Microsoft Analysis Services (Cubes). In Extract, Transform, and Load (ETL), skills encompass Oracle Data Integrator (ODI) and SQL Server Integration Services (SSIS). Proficiency in databases includes working knowledge of Snowflake, Oracle, MySQL, Microsoft SQL Server, and PostgreSQL.
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USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
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*Estimations are based on information from Glassdoor, salary.com and live Howdy data.