Data Architect

2 semanas atrás

Brasil beBeeData Tempo inteiro R$80.000 - R$140.000

Job Title: Data Architect

  • The primary objective of this project is to modernize and develop an eCommerce platform for millions of customers weekly.
  • This platform has multiple Product Teams focused on different domains: Customer, Loyalty, Search and Browse, Data Integration, Cart.
  • The current priorities are re-architecture, database migrations, and migrating microservices to a unified cloud-native solution without disrupting business.


Responsibilities:

  • We seek a Data Architect responsible for designing solutions for large retail companies.
  • The main focus is on supporting the processing of large data volumes and integrating them into the current architecture.


Mandatory Skills:

  • Strong expertise in Azure Data Factory (3+ years) and Synapse.
  • Experience leading distributed teams.
  • Expertise in designing and implementing data models, including conceptual, logical, and physical data models, for efficient data storage and retrieval.
  • Knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark.
  • Extensive experience with building ETL/ELT pipelines and extracting, transforming, and loading data from various sources into data lakes or warehouses.
  • Ability to integrate data from disparate sources using techniques like API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions, dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault.
  • 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 an advantage.
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix, or Windows shell.


Nice-to-Have Skills:

  • 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 cross-functional teams.
  • Languages: English - B2 Upper Intermediate.
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