
Data Analyst / Cloud
Instituto de Pesquisas Eldorado
full-time
Posted on:
Location Type: Hybrid
Location: Campinas • Brazil
Visit company websiteExplore more
About the role
- Design and operate data architecture on AWS for ingesting, storing, transforming, and making available data collected from vehicles.
- Implement ETL/ELT pipelines, ensuring standardization, scalability, and reliability in data movement.
- Define and enforce governance, security, LGPD (Brazilian Data Protection Law) compliance, anonymization, and access control policies.
- Model Data Lake and Data Warehouse structures, ensuring performance and data integrity.
- Work with large volumes of data (Big Data), ensuring efficiency in organization and processing.
- Create integrated data layers for consumption by analytics tools such as Power BI.
- Monitor quality metrics and manage monitoring and operations of the data environment.
- Participate in technical discussions on architecture and requirements.
- Produce and maintain technical documentation (architecture, data dictionary, ETL/ELT flows, quality rules, access).
Requirements
- Bachelor's degree in Computer Engineering, Data Science, Information Systems, or related fields;
- Proven experience with AWS (e.g., S3, Glue, IAM, Athena, Lambda), strong proficiency in SQL;
- Experience with PySpark or Python for data processing;
- Familiarity with data formats such as Parquet, JSON, and CSV;
- Experience with Big Data projects, demonstrated by building and supporting ETL/ELT pipelines;
- Knowledge of data modeling (Data Lake vs Data Warehouse);
- Proficiency with data formats: Parquet, JSON, and CSV;
- Intermediate to advanced English for interaction with international teams.
Benefits
- People with disabilities (PwD) are always welcome.
- Diverse environment and equal opportunity.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWSSQLPySparkPythonETLELTdata modelingdata architectureBig Datadata governance
Soft Skills
communicationtechnical documentationcollaborationproblem-solvingattention to detail