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Chief Data Integration Architect

2 semanas atrás


São Paulo, São Paulo, Brasil beBeeDataIntegration Tempo inteiro R$900.000 - R$1.500.000
Job Description

As a key member of our team, you will play a vital role in delivering innovative data integration solutions that drive business growth and efficiency. You will be responsible for designing, implementing, and maintaining robust data ingestion and transformation pipelines using both batch and streaming architectures.

You will work closely with data analysts, data scientists, and business stakeholders to understand data needs and deliver end-to-end solutions. Your expertise in structured and semi-structured data from diverse sources will ensure data quality, consistency, and reliability.

You will also optimize and modernize legacy data integration processes and contribute to data platform migration and modernization initiatives. Additionally, you will collaborate with cross-functional teams to design and develop technical solutions that meet the evolving needs of the business.

This is an exciting opportunity for a highly skilled data integration professional to join our team and make a significant impact on our organization's success.

Required Skills and Qualifications
  • Design and implement robust data ingestion and transformation pipelines using batch and streaming architectures.
  • Develop and maintain data flows across Data Lake, Data Warehouse, and Analytics platforms.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver end-to-end solutions.
  • Work with structured and semi-structured data from diverse sources to ensure data quality, consistency, and reliability.
  • Optimize and modernize legacy data integration processes and contribute to data platform migration and modernization initiatives.
  • Cloud & Big Data Ecosystems: Microsoft Azure (Azure Data Factory, Azure Data Lake Gen2, Azure Synapse Analytics, Azure Databricks, Azure Event Hub); AWS (Glue, S3, Redshift)
  • Apache Kafka for real-time data streaming
  • Databricks for advanced data engineering and analytics
  • Snowflake for cloud-native data warehousing
  • ThoughtSpot for self-service analytics
  • Strong knowledge of ETL/ELT patterns and data modeling best practices
Benefits

This role offers a competitive salary and benefits package, as well as opportunities for career growth and professional development. Our company culture values innovation, collaboration, and excellence, and we are committed to creating a positive and inclusive work environment.

Others

Our team is passionate about staying up-to-date with the latest industry trends and technologies. We encourage continuous learning and professional growth through training programs, conferences, and workshops. We believe in teamwork and collaboration, and we foster an environment where everyone feels valued and respected.

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