Senior Data Engineer

🕒 September 2

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 24%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Reply

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 covering data ingestion/collection, processing, integration, storage, and delivery • Work on distributed systems architecture for parallel processing of large volumes of data (MPP) • Combine multiple heterogeneous data sources • Collaborate with analytics and data science teams to build data-driven solutions and generate value

🎯 Requirements

• 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 Warehousing) • Experience with SQL databases • Experience with EMR, Kinesis, Redshift, S3, Glue, and Elasticsearch on AWS • Knowledge of Kafka • Knowledge of Data Lakes and DataOps • Nice to have: knowledge of Terraform or CloudFormation

🏖️ Benefits

• Cutting-edge environment / Innovation at our core – Challenging projects alongside highly qualified specialists • Continuous learning – Discounts and partnerships with leading universities and technology platforms in Brazil • Language learning without barriers – Special rates on language-learning platforms • Projects involving AI, Cloud, Machine Learning, and Industry 4.0 • Strategic partnerships with Microsoft, Oracle, AWS, and SAP

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