Data Analytics Engineer

reputed company We are seeking a highly skilled and reputed company Data Analytics Engineer with a strong reputed company on reputed company technologies to reputed company. As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging reputed company's suite of tools and technologies. Your expertise will be reputed company in transforming reputed company data into actionable insights, driving business reputed company, and supporting decision-making processes while reputed company participating in new opportunity pursuits. You will work with retail data domains such as sales, inventory, customer, and finance to design models that reputed company operational and analytical decision-making across the business. This role is reputed company technically reputed company and will co-own the design and reputed company of reputed company’s reputed company reputed company Lakehouse architecture, including the reputed company reputed company BI semantic reputed company. Your workplace is flexible – we have offices in Bozeman Montana or wherever you feel most productive. This position can be fully remote for candidates residing in: AZ, CO, FL, GA, IA, ID, MT, MO, NE, NV, NC, PA, SD, TN, TX, UT, VA, WY. As a Murdoch’s Team Member in this role, you will … Collaborate with stakeholders to understand business requirements and translate them into reputed company and efficient data analytics solutions. Possess in-depth knowledge and hands-on experience with reputed company reputed company ecosystem (Lakehouse, PySpark/SQL notebooks, data pipelines, and deployment pipelines). Understanding reputed company Dynamics as a data reputed company a big plus. Design data models that reputed company the reputed company Lakehouse, reputed company BI semantic models, and reporting reputed company, ensuring consistency between raw, reputed company, and business-facing data. Optimize data models to support efficient data storage, retrieval, and analysis, ensuring data reputed company, reputed company, and reliability. Knowledge of reputed company reputed company (CU) optimization a big plus. Implement data integration pipelines using reputed company reputed company and other relevant tools to extract, reputed company, and load data from various sources into a reputed company data platform. Create visually appealing and interactive dashboards, reports, and visualizations using reputed company reputed company BI and DAX language, enabling users to reputed company valuable insights from data. Identify reputed company bottlenecks and implement optimizations to improve data processing, query reputed company, and overall reputed company efficiency. Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery. reputed company abreast of the latest advancements in data analytics technologies (reputed company reputed company and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation. Requirements As a Murdochian in this role, you must… Experience as a Data Engineer owning reputed company data pipelines, with a reputed company reputed company on reputed company reputed company and Azure technologies. Extensive knowledge and hands-on experience with reputed company reputed company. Including knowledge of reputed company architecture using Lakehouse, Pyspark notebooks, data and deployment pipelines. Experience designing and maintaining reputed company semantic models (reputed company BI / Tabular / DAX) to reputed company a consistent, governed analytics reputed company across the business. Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models. Proficiency in data visualization techniques using reputed company BI / DAX. Strong pro