Senior Cloud Data Migration Specialist

Há 2 dias

Região Geográfica Intermediária de Sorocaba, Brasil beBeeDataMigration Tempo inteiro US$30.000 - US$45.000
Cloud Data Migration Specialist

We are seeking a detail-oriented Cloud Data Migration Specialist to support the migration of data infrastructure from Microsoft Azure to AWS and ongoing analytics and reporting needs in the post-migration cloud environment.

Key Responsibilities:
  • Analyze and document current-state data sources, including Dynamics 365 BC, SQL Server, Access, Magento, PIM, Repricer, and APIs.
  • Conduct data profiling and quality assessments to inform migration strategies.
  • Collaborate with engineers and architects to support data mapping, transformation, and validation processes during migration.
  • Help define and document performance, compliance, and availability requirements for datasets being moved to AWS.
  • Support migration testing and cutover planning for reporting and analytic workloads.
Post-Migration Responsibilities:
  • Perform ongoing data validation, reconciliation, and quality monitoring across S3, Redshift, Glue, and other AWS data services.
  • Develop and maintain dashboards, visualizations, and reports using Amazon QuickSight or equivalent BI tools.
  • Translate business questions into data-driven analyses and deliver actionable insights across sales, operations, and e-commerce domains.
  • Support business stakeholders with ad hoc data needs and self-service analytics enablement.
  • Partner with ML/GenAI teams to prepare and validate data sets for AI/ML models and assist in measuring model outputs.
  • Document data dictionaries, business logic, and data lineage to ensure transparent and auditable reporting.
  • Contribute to ongoing data governance, security, and cost optimization practices in AWS.
Requirements:
  • Bachelor's degree in Data Science, Computer Science, Information Systems, or related field.
  • 3+ years of experience in a Data Analyst or BI Analyst role supporting cloud-based data platforms.
  • Proficiency in SQL and data manipulation across relational and cloud-based data stores.
  • Experience working with API-driven data sources and unstructured data.
  • Familiarity with AWS data services such as S3, Glue, Redshift, and QuickSight.
  • Strong data profiling, visualization, and problem-solving skills.
  • Ability to translate business needs into technical data requirements and outputs.

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