Data Architect Specialist

4 semanas atrás


Rio de Janeiro, Brasil beBeeDataEngineer Tempo inteiro

Job Description

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  • The primary goal of this project is to modernize, maintain, and develop a comprehensive e-commerce platform that serves millions of customers each week. ">
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    • Solutions are delivered by multiple teams focused on different domains: customer, loyalty, search and browse, data integration, cart. ">
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      • Current priorities include new brand onboarding, re-architecture, database migrations, and migrating microservices to a unified cloud-native solution without disrupting business operations. ">
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Responsibilities:

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  • This role seeks an experienced Data Engineer responsible for designing solutions that support big data processing and integrating them into the current architecture. ">
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Mandatory Skills:

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  • A strong background in Azure Data Factory and Synapse (3+ years) is essential. ">
  • Leadership experience with distributed teams. ">
  • Expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval. ">
  • Familiarity with Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks. ">
  • Experience building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses. ">
  • Able to integrate data from disparate sources using techniques such as API integration or message queuing. ">
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas). ">
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages. ">
  • Experience integrating metadata and governance processes into cloud-based data platforms. ">
  • Certification in Azure, Databricks, or other relevant technologies is advantageous. ">
  • Experience with cloud-based analytical databases. ">
  • Experience with Python and Python-based ETL tools. ">
  • Shell scripting experience (Bash, Unix, or Windows shell) is preferable. ">
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Nice-to-Have Skills:

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  • Experience with Elasticsearch. ">
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes). ">
  • Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis. ">
  • Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams. ">
  • Languages: English - B2 Upper Intermediate ">

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