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The goal of the project is to migrate the existing Data Warehouse to the cloud. The current solution is built on legacy applications, including AQT. The client aims to modernize the technology stack and transition to industry-standard tools and platforms.
Job Responsibility:
Gather and clarify requirements from data analysts and review historical defects
Develop and maintain validation models using DBT
Create basic visualizations in Databricks Dashboards to support validation models
Investigate data issues, analyze failures, and report findings to the team
Requirements:
2+ years of relevant professional experience
Strong SQL skills and experience with cloud-based data analytics platforms
Understanding of data modeling concepts, including Kimball methodology, dimensions, and fact tables
Hands-on experience with Python
Experience with DBT (getdbt.com) or another macro-driven language
Understanding of how data warehouses operate is a strong advantage
Familiarity with Azure DevOps or similar task management tools
Nice to have:
Experience with data validation frameworks such as Great Expectations or similar tools
Background in automated data quality assurance and maintaining workflow systems
Ability to validate sensitive or non-directly accessible data (e.g., PII) using logical inferences and collaboration with stakeholders
Willingness to refactor and optimize processes to improve execution time on a регуляр basis
What we offer:
Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days