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Analyst in ETC (Extraction, Transformation, Data Loading)

Summary

ETL Analyst designing, developing, and maintaining data extraction, transformation, and loading solutions using SQL/PL/SQL with Oracle or PostgreSQL databases, building dimensional data warehouses and operational data stores.

Here is a brief overview of the tasks and responsibilities that will fall to you:

  • Design, develop and maintain solutions for data extraction, transformation, loading and provision
  • Develop data processing and pipelines using SQL and PL/SQL
  • Develop dimensional data warehouses and operational data stores that meet business needs
  • Structure data architectures and the infrastructures necessary for their exploitation
  • Ensure the quality, reliability, integrity and security of data through the application of appropriate controls
  • Collaborate with data analysts, business intelligence specialists and data scientists to meet their information needs
  • Automate data flows and optimize loading and transformation processing
  • Validate data and resolve anomalies that may affect its use
  • Document the processes, transformations and business rules associated with the data
  • Enforce applicable data governance and privacy requirements

The profile sought is as follows:

  • Hold a bachelor's degree in information technology, business administration or a related field
  • Have a minimum of five (5) years of experience in SQL and PL/SQL programming
  • Master the design, development and maintenance of dimensional data warehouses or operational data stores
  • Leverage Oracle or PostgreSQL databases in enterprise environments
  • Develop data extraction, transformation and loading processes as well as data pipelines
  • Use visualization and reporting tools such as Qlik Sense, Tableau or Power BI
  • Participate in projects carried out using agile approaches
  • Understand the principles of data modeling and data warehouse architecture
  • Analyze complex needs and recommend solutions adapted to business objectives
  • Demonstrate rigor, autonomy and excellent analytical skills
  • Collaborate effectively with multidisciplinary teams and communicate clearly with stakeholders

See also

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