Senior Data Engineer for production data pipelines

DataArt provides IT services and consulting. The company is seeking a data-first professional to deliver production-ready datasets for analytics and application consumers.

• Build, maintain, and enhance data pipelines and transformation workflows;
• Develop and orchestrate ingestion and processing pipelines in Python and Airflow;
• Develop clean, reliable, and reusable data models for downstream analytics and application consumers;
• Use SQL and Snowflake to investigate data, troubleshoot issues, and implement transformations;
• Translate business and downstream requirements into data models and pipeline designs;
• Perform data analysis, validation, reconciliation, and data quality checks;
• Troubleshoot and resolve data issues across source systems, ingestion, transformation, and serving layers;
• Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and partitioning decisions;
• Own assigned tasks and independently drive them through development, testing, and completion;
• Work with business, analytics, and engineering teams to deliver production-ready solutions.

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

• Office role in Belgrade, Serbia.