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
