Senior Data Engineer

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. This service is pivotal in shaping our data landscape, with a strong emphasis on designing, developing, and optimizing robust data models and data products. The successful candidate will play a critical role in building scalable, high-quality data solutions that empower data-driven decision-making and support our ongoing analytical transformation initiatives. Requirements Proven experience as a Data Engineer, Data Modeler, or a similar role with a strong focus on data warehousing. Deep expertise in Snowflake for data warehousing, including schema design, query optimization, and performance tuning. Extensive hands-on experience with dbt (data build tool) for data transformation, version control, testing, and pipeline orchestration. Solid understanding of data modeling principles (e.g., dimensional modeling, data vault) and practical experience in designing and implementing complex data models. Proficiency in SQL for data manipulation, analysis, and complex query writing. Nice-to-Have Skills: Experience with version control systems (e.g., Git). Strong analytical and problem-solving skills with meticulous attention to detail. Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders. Experience with Power BI, with a strong emphasis on the backend aspects: Developing complex Power BI datasets. DAX formula creation and optimization. Connecting to various data sources. Implementing row-level security (RLS). Optimizing Power BI data models for performance and scalability. Prior experience with Qlik Sense, particularly understanding its data architecture and data loading mechanisms, to facilitate a smooth transition to Power BI. Experience with data governance frameworks, metadata management, and data catalog tools