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Senior Software Engineer, Data

Summary

Build and maintain data governance and metadata management platforms using Java, Python, AWS/OCI, Docker, Kubernetes, and Terraform in an on-site São Paulo role.

Responsibilities

  • Develop and maintain the organization's data governance management platform.
  • Contribute to the analysis and definition of implementations for new technologies.
  • Participate in defining and implementing the architecture of the services maintained by the team.
  • Work in development teams that employ agile methodologies.
  • Evaluate new market technologies and frameworks for continuous improvement of products and processes, conducting proofs of concept.
  • Maintain and develop features of the data platform, specifically the organization's metadata management product.
  • Build services, microservices, and products that meet the needs of the organization's data teams from both data governance and data engineering perspectives.
  • Build mechanisms that ensure the management, discovery, and awareness of the various data sources available to the organization's engineering teams.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • Experience with version control using Git.
  • Experience with Java and Python.
  • Experience developing in AWS (S3, Glue, Redshift) and/or OCI (AI DP).
  • Experience in systems analysis and development, architectural definition, and object-oriented design.
  • Experience containerizing applications using Docker and Kubernetes.
  • Experience with observability solutions such as New Relic, Grafana, and Splunk.
  • Experience with Linux, shell scripting, YAML, and Terraform.
  • Knowledge of microservices architecture.

Core Competencies

Demonstrates expertise in data governance management, architecture definition, and the development of data platforms, with a strong focus on implementing microservices and utilizing cloud technologies. Proficient in agile methodologies and continuous improvement practices to enhance data management solutions.

See also

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