Analytics Engineer

Responsibilities

• Build, maintain, and enhance data pipelines and transformation workflows using dbt and Python DAGs in Airflow
• Develop clean, reliable, and reusable data models for analytics and reporting
• Work with SQL and data warehouse platforms to investigate data and implement transformations
• Develop and maintain Power BI dashboards, reports, semantic models, and DAX measures
• Translate business requirements into appropriate data models and reporting solutions
• Perform data analysis, validation, reconciliation, and data quality checks
• Troubleshoot data issues across the pipeline from source to reporting
• Use AI tools to enhance productivity on tasks

Requirements

• 10+ years of experience
• Strong SQL and data analysis skills
• Proficiency in Python for complex transformations and integrations
• Hands-on experience with dbt and modern ELT practices
• Solid understanding of dimensional modeling (fact/dimension structures)
• Experience with cloud data warehouses, preferably Snowflake
• Strong experience with Power BI, including DAX and performance optimization
• Ability to work independently in a fast-paced environment
• Advanced English fluency