
1001 - 5000 employees
We are a tech company with +12 years of experience, specialized in building secure and scalable systems using distributed architectures and cloud-native solutions for applications with an average of 30M users. We help large, relevant market players reduce their time-to-market for new products and services, delivering up to 80% faster with 50% less code.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
BigQuery
Cloud
Docker
DynamoDB
Kubernetes
MySQL
NoSQL
Postgres
Python
PyTorch
Spark
SQL
Tensorflow
Terraform
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1001 - 5000 employees
We are a tech company with +12 years of experience, specialized in building secure and scalable systems using distributed architectures and cloud-native solutions for applications with an average of 30M users. We help large, relevant market players reduce their time-to-market for new products and services, delivering up to 80% faster with 50% less code.
• Design and implement reusable data platforms and systems with a focus on security • Define architectural standards for data flows, ensuring scalability and resilience • Lead the development of data ingestion, processing, and governance pipelines across cloud and on-premises environments • Propose and evolve integration solutions between dependent teams using modern data tools • Implement best practices for observability, cost control, and security in distributed environments • Support the dissemination of development standards, code review practices, and release automation
• Advanced experience with Databricks • Advanced programming skills in Python and strong SQL proficiency for handling and analyzing large volumes of data • Hands-on experience with Apache Airflow, Spark, S3/Data Lake, Snowflake or BigQuery • Modeling and optimization of relational databases (PostgreSQL, MySQL) and NoSQL databases (DynamoDB) • Knowledge of machine learning frameworks: TensorFlow, PyTorch; orchestration with MLflow/Kubeflow • Automation and infrastructure-as-code with Terraform/CloudFormation • Implementation of CI/CD pipelines for data and models and management of Docker and Kubernetes environments for distributed processing • Configuration of monitoring tools (Datadog) and visualization (QuickSight)
• Freedom to work from anywhere • Flexible hours • Education assistance • Dedicated internal career development tool • Internal guilds and study/interest groups • Health insurance • Dental insurance • Pharmacy discount partnership • 24/7 telemedicine • Free online therapy • Wellhub (wellness program) • Extended maternity leave • Extended paternity leave • CAZ – Zuppers Support Center • Meal and food vouchers • Life insurance • Commuter allowance • Home office allowance • Childcare assistance • Phone plan allowance • Profit sharing
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🗣️🇧🇷🇵🇹 Portuguese Required
Amazon Redshift
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ETL
PySpark
Python
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SQL
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Python
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Airflow
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Apache
AWS
Cloud
Python
SQL