Data Engineer

Job Title : Data Engineer (Databricks Platform Modernization)
MUST HAVES Skills/Tech : 5-7 years experience Hands-on experience with Databricks and Azure , including implementation using Unity Catalog.
Experience in platform modernization projects and implementation.
Deep understanding of components of data and analytics (building data platforms, data platform management, data extraction, ETL/ELT, data security, and data/insight reporting)
Job Responsibilities: Collaborate with cross-functional teams to architect, implement, and optimize Cencora's cloud Data & Analytics platform throughout all phases of data ingestion.
Evaluate and integrate software technologies into our modern platform, ensuring compatibility and scalability while leveraging configurable self-service tools.
Lead technical discussions and facilitate collaboration among technical stakeholders to make informed decisions and drive architecture designs.
Document meeting notes, technical conversations, and architectural decisions to ensure alignment and enable knowledge sharing across teams.
Explore emerging features and technologies in the data and analytics space, conducting research and analysis to identify opportunities for improvement.
Hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI.
Collaborate with delivery and platform teams to implement architectural strategies, design solutions, and ensure successful project outcomes.
Evaluate, propose, and implement data writing solutions using tools like Power BI, ensuring data governance, security, and compliance requirements are met.
Required Skills and Qualifications: 5-7 years of proven experience in Data Engineering roles, with a strong understanding of Data and Analytics components.
Expertise in cloud platforms, particularly Databricks and Azure, with hands-on experience in architecting and implementing data solutions.
Proficiency in data platform management, data extraction, UI/UX presentation, and generative AI, with a strong technical background in data ops and data governance.
Ability to lead technical discussions, document decisions, and communicate effectively with both technical and non-technical stakeholders.
Proactive, independent, and self-motivated with a natural curiosity and desire to explore emerging technologies and industry trends.
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience)