Sr. Data Engineer, R&D Data Catalyst Team

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