Jobs in Brasilia, Brazil
Desenvolvedor Java Sênior
Hi-Line Consultoria
Sr. Software Engineer
Softensity Inc
Pmo Ti Trilingue \"#988548\"
Dexian Brasil
Discover more opportunities than anywhere else. Find more jobs nowDesenvolvedor Java Sênior
Hi-Line Consultoria
Site Reliability Engineer
Softensity Inc
Ecommerce Assistant
Hr Talent Board
Connect with headhunters to apply for similar jobsPmo Ti Trilingue \"#988548\"
Dexian Brasil
Ecommerce Assistant
Hr Talent Board
Pmo Ti Trilingue \"#988548\"
Dexian Brasil
Senior Full Stack Web Application Developer (Javascript, Php, Linux)
Velozient
Customer Support Specialist | Spanish, Italian, English
EverHelp
Sap Abap Fullstack Developer
RED Global
Fullstack C Engineer - Work From Home
Nearsure
Senior Project Manager-Water/Wastewater
Remote Jobs
Recruiter
Review All
Analista De Negócio De Tecnologia
Kantar Ibope Media
Site Reliability Engineer
Softensity Inc
Desenvolvedor(A) Java Pleno - Integrações (Sensedia)
Platform Builders
Arquiteto De Dados
Niteo Technologies
Tech Lead com foco em Back End
Aldelia
Data Analyst
Job summary
A leading data solutions firm is seeking a Data Analytics & Engineering Specialist to enhance their analytical capabilities. This remote role requires 2+ years of experience and proficiency in big data processing and SQL. Candidates should hold a relevant degree and have experience with various BI tools. Responsibilities include designing scalable solutions and executing data flows, supporting advanced analytics, and driving efficiency across data partnerships.
Qualifications
- 2+ years of experience in analytics and data engineering.
- 1+ year of hands-on experience with big data processing systems.
- Proven ability to design and lead time-sensitive strategic projects.
Responsibilities
- Rationalize and prioritize data requests for scalable solutions.
- Execute and maintain daily data flows and existing pipelines.
- Design and develop robust data pipelines for multiple use cases.
Skills
Education
Tools
We're looking for a Data Analytics & Engineering Specialist in Brazil!!
Location: Remote (Brazil)
Employment Type: PJ - Open Ended
We are looking for a gritty problem solver and self-starter who will serve as a key interface between the Analytics and Engineering teams. In this role, you will deeply understand the needs of analytics stakeholders, anticipate future requirements, and partner closely with Data Engineers to identify, vet, and prioritize upstream data. Your mission is to enable strong analytical capabilities, drive operational excellence, and improve efficiency across data partnerships.
- Rationalize and prioritize data requests, designing ideal and scalable solutions.
- Execute new data flows and maintain existing pipelines on a daily basis.
- Design, develop, and maintain robust, efficient data pipelines that support multiple use cases with minimal incremental effort.
- Drive the vision for Business Intelligence (BI) and Data Warehousing across all business lines, defining and executing a roadmap to achieve that vision.
- Evolve analytical data ecosystems to support advanced analytics and big data use cases.
- 2+ years of experience in analytics and data engineering.
- 1+ year of hands-on experience with big data processing systems such as Hadoop, Hive, Spark, or similar technologies.
- Expert-level proficiency in SQL.
- Proven ability to design and lead time-sensitive, strategic projects involving methodology development, analysis, and presentation of insights and recommendations.
- Degree in a STEM field (Engineering, Computer Science, Mathematics, or related area).
- Experience with BI and data visualization tools such as MicroStrategy, Tableau, Looker, or similar platforms.
- Experience with Unix / Linux shell scripting and Python.
- Strong database performance tuning and optimization skills.
- Bachelor’s degree in engineering, computer science, mathematics, or related field preferred.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.