
11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
🔒 Cybersecurity
🤝 B2B
Artificial Intelligence • Cybersecurity • B2B
Campos Thomaz Advogados is a São Paulo–based technology-focused law firm that advises national and international clients on legal and regulatory matters related to technology. The firm specializes in artificial intelligence and algorithms, privacy, data protection and cybersecurity, intellectual property, fintech and crypto, telecommunications, ICT contracts, M&A and regulatory advocacy, while also offering litigation, secondment and legal outsourcing services. Campos Thomaz publishes newsletters and media analysis on tech regulation and supports businesses with strategic, business-minded legal counsel.
🕒 April 12
🗣️🇧🇷🇵🇹 Portuguese Required
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11 - 50 employees
Founded 2020
🤖 Artificial Intelligence
🔒 Cybersecurity
🤝 B2B
Artificial Intelligence • Cybersecurity • B2B
Campos Thomaz Advogados is a São Paulo–based technology-focused law firm that advises national and international clients on legal and regulatory matters related to technology. The firm specializes in artificial intelligence and algorithms, privacy, data protection and cybersecurity, intellectual property, fintech and crypto, telecommunications, ICT contracts, M&A and regulatory advocacy, while also offering litigation, secondment and legal outsourcing services. Campos Thomaz publishes newsletters and media analysis on tech regulation and supports businesses with strategic, business-minded legal counsel.
• Design and implement a Lakehouse Medallion Architecture on OneLake; • Build and maintain bronze, silver, and gold data layers; • Prepare databases optimized for Power BI; • Structure workspaces, OneLake, Lakehouse, Notebooks, and Spark pipelines; • Implement access controls and governance; • Prepare data for use in dashboards; • Work in continuous alignment with the project manager;
• Advanced expertise in preparing databases for Power BI • Proven experience with Lakehouse Medallion Architecture • Hands-on experience with OneLake, Lakehouse, Notebooks, and Spark • Programming experience for building data platforms in Microsoft environments • Proficiency in SQL • Ability to design secure and governed environments • Advanced English • Results-driven/execution-oriented profile
• Parking • Career development plan • Meal allowance • Bonus
Apply Now🕒 April 10
10,000+ employees
💸 Finance
AWS Data Engineer working on large client project in financial services sector. Collaborating with data engineers and scientists to create scalable data pipelines using AWS technologies.
🗣️🇧🇷🇵🇹 Portuguese Required
Amazon Redshift
Apache
AWS
ETL
Python
Scala
Spark
SQL
🕒 April 9
10,000+ employees
💸 Finance
Data Engineer managing ETL processes and financial data for international projects. Collaborating with clients and internal teams to ensure data quality and project success.
🗣️🇧🇷🇵🇹 Portuguese Required
ETL
Oracle
SQL
🕒 April 2
1001 - 5000
💸 Finance
🏦 Banking
💳 Fintech
Data Engineer supporting vehicle buying and selling solutions through integration pipelines. Collaborating with teams to build digital vehicle platforms and optimize data processes in São Paulo.
🗣️🇧🇷🇵🇹 Portuguese Required
MongoDB
Python
SQL
🕒 April 1
10,000+ employees
💸 Finance
Data Engineer (Kafka) responsible for designing and maintaining data pipelines in a financial technology project. Collaborating with teams and using Kafka to process real-time data.
🗣️🇧🇷🇵🇹 Portuguese Required
Apache
Kafka
NoSQL
Spark
SQL
🕒 March 28
501 - 1000
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Data Engineer creating data pipelines for the Santander Corporate Data Lake collaborating in agile teams. The role involves using Databricks and PySpark for strategic projects.
🗣️🇧🇷🇵🇹 Portuguese Required
Apache
AWS
Azure
Hadoop
HBase
Jenkins
Postgres
PySpark
Python
Spark