Compass

Senior AWS/Azure Data Analyst

Compass

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzurePythonSQLTableau

About the role

  • Structure, organize, and standardize data from multiple sources, applying consistent business rules.
  • Consolidate information into the corporate Data Warehouse, ensuring integrity and scalability.
  • Refactor manual report and metric generation processes, promoting automation and centralization of data.
  • Implement best practices for data governance, versioning, and data quality, ensuring a single source of truth.
  • Support the design and implementation of the new data architecture on AWS while maintaining compatibility with existing systems on Azure.
  • Create and maintain efficient data pipelines in Databricks and Synapse, ensuring performance and reliability.
  • Collaborate with business teams to translate operational rules into reliable indicators and metrics.

Requirements

  • Strong knowledge of dimensional and relational modeling (Star Schema, Snowflake).
  • Understanding of Data Warehouse layers (Raw, Trusted, Refined) and their purposes.
  • Advanced SQL and Python for data manipulation and integration.
  • Experience with Azure Synapse and Databricks.
  • Familiarity with AWS services (Athena, Redshift, Glue, S3).
  • Experience with visualization tools such as Tableau.
  • Understanding of data quality, reliability, and versioning concepts.
  • Analytical skills and the ability to translate business rules into indicators and metrics.
  • Previous experience in migration projects or hybrid architecture (Azure → AWS) is desirable.
Benefits
  • Don’t meet all the requirements for this role?
  • That’s okay! At Compass UOL, we encourage continuous development of new talent and turn challenges into opportunities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
dimensional modelingrelational modelingSQLPythondata manipulationdata integrationdata qualitydata governancedata pipelinesdata architecture
Soft skills
analytical skillscollaborationcommunication
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