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Chief data engineer

Araçatuba
beBeeDataArchitect
Anunciada dia 4 outubro
Descrição

Job Title: Data Architect

We are seeking a skilled Data Architect to join our team. The successful candidate will be responsible for designing and implementing data models, including conceptual, logical, and physical data models.

Key responsibilities:

* Design a solution to process big data volumes and integrate it with the current architecture.
* Leadership experience in distributed teams.
* Expertise in designing and implementing data models, including conceptual, logical, and physical data models.
* Knowledge of Microsoft Azure services, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks.
* Experience building ETL/ELT pipelines to extract, transform, and load data from various sources.
* Ability to integrate data from disparate sources using API integration or message queuing.
* Proficiency in SQL to perform complex queries, data transformations, and performance tuning.
* Experience integrating metadata and governance processes into cloud-based data platforms.
* Certification in Azure, Databricks, or other relevant technologies is an added advantage.
* Experience with cloud-based analytical databases.
* Experience with Python and Python-based ETL tools.
* Shell scripting experience in Bash, Unix, or Windows shell is preferable.

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.
* Collaboration and Communication: strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.


Benefits

The ideal candidate will have strong expertise in Azure Data Factory and Synapse, leadership experience in distributed teams, and expertise in designing and implementing data models. We offer competitive compensation and benefits, opportunities for professional growth, and a dynamic work environment.

Please submit your resume and cover letter to apply for this exciting opportunity.

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