Analytics Engineer

responsibilities: Design, build, and maintain interactive, high-performing Power BI dashboards and semantic models. Write optimized SQL queries, perform data validation, and troubleshoot data pipelines across cloud platforms. Support ongoing analytics modernization efforts, including integrations with Amazon Redshift and Microsoft Fabric. Collaborate with business and technical teams to translate complex requirements into robust analytical solutions.

qualifications: REQUIRED QUALIFICATIONS 2 to 5 years of professional experience in Business Intelligence, Analytics Engineering, or Data Engineering. Proven experience with Power BI, including DAX, Power Query, semantic modeling, and Row-Level Security (RLS). Strong SQL proficiency for querying, data validation, and performance tuning. Foundational understanding of ETL/ELT, data warehousing, and cloud platforms (e.g., Redshift, Azure, Fabric). PREFERRED QUALIFICATIONS Hands-on experience with Microsoft Fabric components (Lakehouse, Warehouse, Data Factory). Experience handling IoT, telemetry, or high-volume operational data. Familiarity with Python, Spark, or scripting for automation.