data engineer for investment decision support

DataArt specialists are helping to develop a decision support system for investment analysts. The project includes developing, optimizing, and accelerating applications and databases.

• Build, maintain, and enhance data pipelines and transformation workflows using dbt;
• Develop clean, reliable, and reusable data models for analytics and reporting;
• Work with SQL and data warehouse platforms to investigate data, troubleshoot issues, 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 through transformation to reporting;
• Take ownership of assigned tasks and independently drive them through development, testing, and completion;
• Work closely with business, analytics, and engineering teams to deliver production-ready solutions.

• Strong SQL and data analysis skills;
• Hands-on experience with dbt and modern ELT/data transformation practices;
• Solid understanding of data modeling, including dimensional modeling, fact/dimension structures, and analytics datasets;
• Experience working with a modern cloud data warehouse, preferably Snowflake;
• Strong working experience with Power BI, including data modeling, DAX, dashboard development, and performance considerations;
• Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements;
• Experience debugging and supporting existing data pipelines and analytics solutions;
• Ability to work independently in a fast-paced environment and deliver tasks with limited supervision;
• Strong experience with Python and Airflow;
• Strong experience with AWS cloud services.

• Contract position.