Data Engineer, Senior

🔥 0 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Reply

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.

📋 Description

• Build and manage reliable data pipelines involving ingestion/collection, processing, integration, storage and provision of data across the organization • Work within a distributed systems architecture for massively parallel data processing (MPP) • Combine multiple heterogeneous data sources • Collaborate with analytics and data science teams to build solutions and deliver data-driven value

🎯 Requirements

• Hands-on experience with ingestion, integration, processing and storage of large volumes of data • Experience working on Big Data projects • Behavior Driven Development (BDD) • Data extraction in 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 AWS Big Data tools such as EMR, Kinesis, Redshift, S3, Glue and Elasticsearch • Knowledge of Kafka • Knowledge of Data Lake and DataOps practices • AWS certifications (desirable/plus) • Knowledge of Terraform or CloudFormation (desirable/plus)

🏖️ Benefits

• Cutting-edge environment / Innovation in our DNA – Challenging projects alongside skilled specialists • Global company – Present in 18 countries, connecting teams and emerging technologies • Strategic partnerships – Alliances with Microsoft, Oracle, AWS and SAP • Continuous learning – Discounts and partnerships with top universities and tech platforms in Brazil • Language support – Special conditions on language learning platforms • Swile flexible card to use as you wish (meal and food allowance) • Totalpass or Gympass • Mental health support – Psicologia Viva • Bradesco Health Plan • Bradesco Dental Plan • Profit sharing • Childcare allowance for our moms • Support for certifications • Special lectures and webinars • RAF referral bonus program • Life insurance • Subsidy for English or Italian courses • Discount for Open English • Birthday gift • Possibility to relocate to another country • University partnerships

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