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AI-Powered Job Summary
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- Data Engineer com experiencia em AWS, Python e SQL, de preferência entre 1 e 2 anos
- Conhecimentos de devops, ETL e Cloud technologies
Se possível também com conhecimentos de:
- Pyspark
- AWS Quicksight
Data Platform [SQL, Python] [AWS, cloud technologies]
- Developing configuration files for data ingestion in AWS.
- Developing data processing jobs in AWS.
- Managing data ingestion services in AWS.
- Investigating and resolving errors in data ingestion and processing jobs in AWS.
Data Warehouse [SQL] [SSIS]
- Creating ETL jobs in on-prem SQL server using SSIS.
- Optimizing queries and automate processes.
Data Products [SQL, R and Python] [Azure DevOps, Jenkins, Docker, SSIS]
- Maintaining and updating reports and dashboards in R and Python.
- Maintaining and creating deployment pipelines for reports and dashboards in Azure DevOps.
- Investigating and solving errors in reports and dashboards.
Integrations [JS, TS, SQL] [Node.js, Jenkins, Docker]
- Implementing microservices for business logic and/or data provisioning in Node.js.
- Developing integration microservices between systems provisioned with REST API.
- Updating packages and frameworks used by a corporate API in Node.js.
- Creating and updating deployment pipelines for microservices in Docker and Azure DevOps.
- Investigating and solving errors found in integration microservices.
Key Skills
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