
10,000+ employees
Founded 1996
🛡️ Insurance
📦 Logistics
📣 Marketing
Insurance • Logistics • Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
🔥 14 hours ago
🗣️🇧🇷🇵🇹 Portuguese Required
Where this job comes from
Posted on Reply's careers page ↗, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Reply's site. Checked 1 hour ago.

10,000+ employees
Founded 1996
🛡️ Insurance
📦 Logistics
📣 Marketing
Insurance • Logistics • Marketing
Reply is a company that designs and implements innovative solutions in the areas of Digital Services, Technology, and Consulting. Specializing in fields such as Artificial Intelligence, Machine Learning, Digital Transformation, and Cloud Computing, Reply operates as a network of highly specialized companies that define business models enabled by new technologies. They deliver consulting, system integration, and digital services across various sectors, including telecom, media, banking, insurance, and public sectors.
• Build and manage reliable data pipelines involving data ingestion/collection, processing, integration, storage, and delivery across the organization • Work on distributed systems architecture for massively parallel processing (MPP) • Combine multiple heterogeneous data sources • Collaborate with analytics and data science teams to build data-driven solutions and generate value from data
• Hands-on experience with ingesting, integrating, processing, and storing large volumes of data • Experience working on Big Data projects • Behavior-Driven Development (BDD) • Data extraction with Python and data processing with PySpark • Experience with ETL tools • Knowledge of relational and dimensional data modeling (Data Warehouse) • Experience with SQL databases • Experience with EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch on AWS • Knowledge of Kafka • Knowledge of Data Lakes and DataOps • AWS certifications are desirable • Knowledge of Terraform or CloudFormation is desirable • Willingness to relocate to another country
• Flexible Swile card to use as you wish (meal and food allowances) • TotalPass or Gympass • Mental health support through Psicologia Viva • Bradesco health insurance • Bradesco dental insurance • Profit-sharing plan • Childcare assistance for mothers • Certification incentives • Special talks and webinars • RAF referral bonus program • Life insurance • English or Italian language subsidy • Open English discount • Birthday gift • Possibility of relocating to another country • Partnerships with universities • Discounts and partnerships with Brazilian universities and technology learning platforms • Special rates on language-learning platforms
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