Databricks is a unified analytics platform that simplifies data processing, machine learning, and collaborative data science. It integrates with Apache Spark to provide scalable and efficient big data analytics, enabling users to build and deploy data pipelines, perform advanced analytics, and collaborate through interactive notebooks.
About Databricks
Databricks was created in 2013 by the original developers of Apache Spark. It aimed to simplify big data processing and analytics, providing a unified platform for data engineering, data science, and machine learning. The founders saw a need for scalable and efficient tools to handle large datasets and collaborative workflows.
Strengths of Databricks include its robust integration with Apache Spark, scalability, and collaborative features through interactive notebooks. Weaknesses might involve its complexity for new users and higher costs for large-scale deployments. Competitors include Snowflake, AWS Glue, Google BigQuery, and Cloudera.
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How to hire a Databricks expert
A Databricks expert must have strong proficiency in Apache Spark, SQL, and Python or Scala. They should be skilled in data engineering, machine learning, and cloud platforms like AWS or Azure. Knowledge of Delta Lake for data lake management and experience with collaborative tools such as notebooks are also crucial.

Tiago D.
Skills
Web Developer with over eight years of experience specializing in web development, proficient in languages including Python, PHP, and JavaScript. Advanced through positions from junior developer to senior roles, also providing technical leadership in both educational technology and financial technology sectors. Currently focused on pre-sales as a Solutions Architect with deep expertise in Azure, Google Cloud Platform, and Amazon Web Services. Areas of specialization include software engineering, DevOps engineering, and data engineering.

Thiago A.
Skills
Mathematics student with a burgeoning focus on data science and machine learning. Developed expertise in creating non-linear optimization algorithms utilizing Fortran. Seeks to leverage mathematical acumen in computing to enhance process efficiency and optimization.

Iago F.
Skills
Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.

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.

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.

Rafael D.
Skills
Computer Engineering student specialized in AI, with a focused trajectory towards a career in Data Science. Continuously expands and deepens expertise within this domain, demonstrating a commitment to ongoing learning and development. Possesses robust teaching abilities and excels in engaging with diverse audiences, effectively communicating complex concepts to both novices and experts alike.

Pedro H.
Skills
A data analyst with a robust background in statistics and mathematics, adept at utilizing Python for solution development and proficient in creating dashboards using Power BI. Currently advancing towards a degree in computer science to specialize further in the data domain.

Felipe G.
Skills
A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.
*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
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