Role & Company Overview
📋 Role Overview & Responsibilities
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)
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