
5001 - 10000 employees
🌾 Agriculture
💳 Fintech
Agriculture • Fintech • Healthcare
Hitss Brasil is a leading system integrator within the Grupo América Móvil, offering over 37 years of experience in digital solutions and IT services across Latin America and the United States. The company specializes in helping businesses adopt and integrate digital solutions to enhance their processes, products, and services. Hitss Brasil provides consulting services, artificial intelligence implementation, and various digital transformation services, catering to industries such as agribusiness, finance, healthcare, and smart cities.
🕒 May 22
🗣️🇧🇷🇵🇹 Portuguese Required
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5001 - 10000 employees
🌾 Agriculture
💳 Fintech
Agriculture • Fintech • Healthcare
Hitss Brasil is a leading system integrator within the Grupo América Móvil, offering over 37 years of experience in digital solutions and IT services across Latin America and the United States. The company specializes in helping businesses adopt and integrate digital solutions to enhance their processes, products, and services. Hitss Brasil provides consulting services, artificial intelligence implementation, and various digital transformation services, catering to industries such as agribusiness, finance, healthcare, and smart cities.
• Develop and maintain data pipelines (ETL/ELT) in GCP and AWS environments; • Work on ingestion, transformation and provisioning of data in the DataHub; • Integrate data from multiple sources, such as GA4, Google Ads, Meta Ads, CRM, APIs and digital platforms; • Ensure data quality, consistency and governance; • Structure and maintain analytical tables (BigQuery / Data Warehouse); • Work with pipeline orchestration (Airflow / Composer); • Monitor ingestions and act to resolve failures (incidents); • Support the construction of data for digital performance; • Collaborate with business teams (Marketing, E-commerce, Product); • Define and disseminate engineering best practices and data standardization.
• Bachelor’s degree; • Strong experience with Python and SQL; • Experience with BigQuery (GCP); • Experience with AWS (S3, Glue or similar); • Experience with Airflow or pipeline orchestration tools; • Knowledge of data modeling (Data Warehouse / Data Lake); • Experience with data ingestion via APIs; • Experience with data cleansing and quality assurance.
Apply Now🕒 May 22
1001 - 5000
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
Data Engineer developing ETL/ELT processes in various platforms like SQL Server and Spark. Collaborating with teams for data quality and supporting cloud data modernization initiatives.
🗣️🇧🇷🇵🇹 Portuguese Required
Cloud
ETL
Google Cloud Platform
NoSQL
PySpark
Python
Spark
SQL
🕒 May 19
1 - 10
Senior Data Engineer developing scalable data pipelines using Databricks and AWS for a leading financial technology company. Focused on quality and data governance for impactful decision making.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
ETL
Python
Spark
🕒 May 14
5001 - 10000
💳 Fintech
🏦 Banking
🤝 B2B
Data Engineer at PagBank facilitating financial solutions through data analysis and collaboration. Responsibilities include SQL data modeling, ETL processes, and working with data teams.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
AWS
Cloud
ETL
SQL
🕒 May 13
1001 - 5000
💳 Fintech
🏦 Banking
🛍️ eCommerce
Senior Data Engineer responsible for developing and optimizing data solutions for financial technology company, ensuring data quality and collaborating with cross-functional teams.
🗣️🇧🇷🇵🇹 Portuguese Required
Cloud
ETL
🕒 May 12
51 - 200
🛍️ eCommerce
🛒 Retail
🤝 B2B
Data Engineer in Porto Bank developing and integrating scalable data systems for business operations. Focus on best practices and risk management in data engineering.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Azure
PySpark
Python
SQL