Data & Analytics

• 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.