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Business Intelligence Solutions Developer

hace 2 meses


Barcelona, Barcelona, España Amazon A tiempo completo
About the Role

We are seeking a highly skilled Business Intelligence Engineer to join our team at Amazon. As a Business Intelligence Engineer, you will play a key role in driving business growth and optimization by leveraging data insights and analytics.

Key Responsibilities
  1. Data Insights and Analytics: Collaborate with cross-functional stakeholders to design, implement, and deliver complex Business Intelligence solutions for the External Fulfillment Network.
  2. Data Infrastructure and Engineering: Partner with Data Engineering to enhance data infrastructure and data availability during Prime/PEAK Events.
  3. Data Mining and Model Building: Use data mining and model building to create solutions for the growing analytical needs of the EF network.
  4. Project Management: Drive projects on data automation, governance, and standardization.
  5. Innovation and Development: Develop innovative Business Intelligence and data analytics solutions leveraging AWS Bedrock and generative AI to build intelligent knowledge bases and conversational interfaces for enhanced business insights and recommendations.
Requirements
  1. Experience: Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
  2. Data Visualization: Experience with data visualization using Tableau, Quicksight, or similar tools.
  3. Data Modeling and Warehousing: Experience with data modeling, warehousing, and building ETL pipelines.
  4. SQL and Scripting: Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
  5. Database and Data Environment: Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.
  6. AWS Services: Experience with AWS services Bedrock, Lambda, SQS.
Preferred Qualifications
  1. Education: Master's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field.
  2. Database Architecture: Experience in designing the database architecture for large-scale usage.