Building Scalable Data Systems

1 dia atrás


Curitiba, Paraná, Brasil beBeeData Tempo inteiro US$120.000 - US$150.000
Cloud Data Engineer

In this pivotal role, you will oversee the conception and implementation of large-scale data processing systems using Azure technologies. Your expertise will be instrumental in ensuring seamless operation of our data infrastructure.

Key Responsibilities:
  • Design and implement data pipelines utilizing Azure Data Factory (ADF) and other tools to process and analyze vast datasets.
  • Collaborate with cross-functional teams to pinpoint and resolve data-related issues, guaranteeing optimal system performance.
  • Develop and maintain ETL processes to extract, transform, and load data into various data warehouses, enhancing business decision-making capabilities.
  • Implement robust data validation and cleansing techniques to ensure accuracy and reliability of data assets.
  • Stay abreast of industry trends and emerging technologies to continually improve data processing capabilities and contribute to the organization's strategic growth.
Requirements:
  • Proficiency in English language skills is essential for effective communication.
  • Expertise in Python/Databricks and SQL programming languages is required for developing and maintaining complex data workflows.
  • Experience with Data Warehouse concepts and ADF is crucial for designing and implementing scalable data architectures.
  • Knowledge of Snowflake and ETL processes is necessary for optimizing data loading and manipulation procedures.


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