Roles & Responsibilities: Design and buildscalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation Break downfeatures into work that aligns with the architectural directionrunway Participate hands-on in pilots and proofs-of-concept for new patterns Create robust documentationfrom data analysis and profiling, and proposed designs and data logic Develop advancedsqlqueries to profile, and unify data Develop data processing code insql, along with semantic views to prepare data for reporting DevelopPowerBIModels and reporting packages Design robust data models, and processing layers,that support both analytical processing and operational reporting needs. Design and develop solutions based onbest practices for data governance, security, and compliance within Databricks and Power BI environments. Ensure the integration of data systems with other enterprise applications, creating seamless data flows across platforms. Develop andmaintainPower BI solutions, ensuring data models and reports areoptimizedfor performance and scalability. Collaborate with stakeholders to define data requirements,functionalspecifications, and project goals. Continuously evaluate and adoptnew technologiesand methodologies to enhance the architecture and performance of data solutions. Basic Qualifications and Experience: Master s degree with1 to 3years of experience inDataEngineeringOR Bachelor s degree with4 to 5years of experience inData Engineering Diploma and 7 to 9 years of experience in Data Engineering. Functional Skills: Must-Have Skills: Minimum of3years of hands-on experience withBI solutions (Preferrable Power BI or Business Objects)including report development, dashboard creation, and optimization. Minimum of3years ofhands-onexperiencebuilding Change-data-capture (CDC) ETL pipelines, data warehouse design and build,and enterprise-level data management. Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads. Deep understanding of Power BI, includingmodel design, DAX, and Power Query. Proven experience designing and implementing data mastering solutions and data governance frameworks. Expertisein cloud platforms (AWS), data lakes, and data warehouses. Strong knowledge of ETL processes, data pipelines, and integration technologies. Strong communicationand collaboration skills to work with cross-functional teams and senior leadership. Ability to assess business needs and design solutions that align with organizational goals. Exceptional hands-oncapabilitieswith data profiling, data transformation, data mastering Success in mentoringand training team members Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experiencewith human data, ideally human healthcare data Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications(please mention if the certification is preferred or mandatory for the role): ITIL Foundation or other relevant certifications(preferred) SAFeAgile Practitioner (6.0) Microsoft Certified: Data Analyst Associate (Power BI) or related certification. Databricks Certified Professional or similar certification. Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity Highestdegree of initiative and self-motivation Strong verbal and written communication skills, includingpresentationtovaried audiencesofcomplextechnical/business topics Confidencetechnical leader Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration acrosstime zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly andretainand synthesize complex information from diverse sources