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Business Intelligence Engineer

Hepsiburada (NASDAQ: HEPS) · Istanbul

New
Senior 🇬🇧 English
Qlik Sense Qlik Cloud SQL Data modeling ETL/ELT REST APIs Google Cloud Platform Git Docker Kubernetes

Job description

About the role

Hepsiburada, Turkey's largest e-commerce platform and the first Turkish company listed on NASDAQ, is hiring a Business Intelligence Engineer. The role covers building and maintaining BI dashboards and reports, keeping BI platforms and decision support systems running, and working with business stakeholders and data teams to turn needs into analytical solutions.

Key responsibilities

  • Develop dashboards and reports on BI platforms, analyze existing solutions and keep them maintained.
  • Ensure continuous operation of BI platforms and decision support systems, keeping reporting consistent.
  • Perform testing and maintenance across BI processes.
  • Work with business stakeholders and data teams to translate business needs into analytical solutions.
  • Contribute to performance optimization and architecture management of BI reporting tools.
  • Develop new features, API integrations and automation for AI-powered applications and BI tools, using AI-assisted coding tools.
  • Apply data governance, access control and data quality principles across BI solutions and AI applications.
  • Follow team standards throughout the software development lifecycle and collaborate on testing and production deployments.

Required profile

  • Bachelor's degree in Computer Science, Computer Engineering, Management Information Systems, Industrial Engineering, Mathematics or a related field.
  • At least 3 years of development experience with Qlik Sense, preferably including Qlik Cloud.
  • Experience developing, modifying and optimizing complex SQL queries.
  • Hands-on application development, including REST APIs and API integration.
  • Practical experience with API integration, prompt design and tool calling in LLM-based applications.
  • Experience with Git and version control workflows.

Required skills

  • Data modeling, data warehousing and ETL/ELT processes.
  • Cloud data services, preferably Google Cloud Platform.
  • Basic troubleshooting in Docker and Kubernetes environments.

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Published 3 saat önce

Expires 1 ay sonra

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Hepsiburada (NASDAQ: HEPS)

Istanbul