
Artificial Intelligence • SaaS • Data
Dadosfera is a platform that integrates data, artificial intelligence, and advanced analytics to help organizations transform their data-driven decision-making process. It simplifies the journey toward intelligent application development, enabling businesses to accelerate their growth by leveraging reliable, real-time insights. With a focus on accessibility and ease of use, Dadosfera empowers both technical and non-technical users to capitalize on their data for strategic advantages while ensuring robust governance and privacy measures.
September 30

Artificial Intelligence • SaaS • Data
Dadosfera is a platform that integrates data, artificial intelligence, and advanced analytics to help organizations transform their data-driven decision-making process. It simplifies the journey toward intelligent application development, enabling businesses to accelerate their growth by leveraging reliable, real-time insights. With a focus on accessibility and ease of use, Dadosfera empowers both technical and non-technical users to capitalize on their data for strategic advantages while ensuring robust governance and privacy measures.
• Lead client projects to ensure high data quality and deliver scalable solutions • Develop, maintain, and evolve data pipelines and cloud platforms using DataOps and Data Engineering principles • Participate in architectural decisions and address technical debt • Engage in agile methodologies and internal training/alignment activities • Design and model secure, reliable, and scalable data architecture solutions • Manage large volumes of data and generate insights for clients
• 3+ years of experience in Data Engineering or a related field • Bachelor’s degree in a STEM or related field (or equivalent industry experience) • Proficiency in building and maintaining data pipelines (Tools, Python, Scala) • Experience in SQL and Python development • Experience with Linux environments and cloud services • Familiarity with CDC ingestion tools (e.g., Debezium, DMS) • Familiarity with data orchestration tools (e.g., Airflow, NiFi) • Hands-on experience with Kubernetes • Hands-on experience with Apache Spark • Preferred: experience with Terraform or CloudFormation • Preferred: experience with BI tools (e.g., PowerBI, Tableau, Metabase) • Preferred: ability to process and transfer data via custom scripts (e.g., APIs, files) • Knowledge of relational and non-relational databases • Advanced English
• Remote (Brazil) • Commitment to diversity and inclusive environment
Apply NowSeptember 28
Build data platform, APIs and MLOps for Experian Brazil; integrate batch and real-time pipelines and collaborate with business and tech teams.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
DynamoDB
Python
Spark
September 25
Airflow
Amazon Redshift
Apache
AWS
Cloud
ETL
Kafka
Python
SQL
September 25
Pleno Data Engineer (AWS) at Genesis Dataculture. Implement ingestion, processing and data availability using AWS, Python and Terraform.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Python
Terraform
September 25
Develop scalable Scala and Spark data pipelines, implement medallion lakehouse architecture, and optimize production workflows at Serasa Experian, Brazilian datatech.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
Scala
Spark
September 24
Airflow
Docker
ETL
Hadoop
Jenkins
Kafka
Kubernetes
OpenShift
Postgres
Python
Spark
SQL