Lead Databricks Data Engineer

- 7+ years of IT-related work experience in Data Platform with a Bachelor's degree. - 7+ years of strong Data engineering experience with mandatory AI assisted development - Hands-on technical experience with AWS, Databricks data platform ecosystem of Fivetran ingestion and Acceldata observability tools - Solid hands-on experience in Data Engineering, Data Analysis, Data Modelling and enabling Analytics solutions - Passion to explore emerging technologies and perform Proof Of Concepts (POC) - Ability to work independently and collaborate with business and cross functional teams - Accountability and Ownership of the delivery in driving the projects to completion

Data Engineering, Frameworks & System Design • 7+ years of experience building and operating data platforms or distributed data systems • Proven experience designing and building reusable data engineering frameworks, libraries, or platform components • Strong experience designing scalable, reliable data pipelines using standardized patterns • Solid understanding of data modeling, storage formats, schema evolution, and query performance • Experience implementing automation in data pipelines, including rule based or AI assisted approaches • Ability to reason about architectural trade-offs across scalability, cost, reliability, and security Cloud & Data Platform Experience • Strong hands-on experience with AWS, including IAM, networking, and multi-account setups • Proven experience with Databricks Lakehouse, including Delta Lake and Unity Catalog • Strong proficiency in Python for framework development, data processing, and automation • Experience building data platforms that support multiple consumers and automated workflows Security & Communication • Understanding of cloud security best practices and data governance • Experience working in regulated or compliance-driven environments • Strong communication skills and the ability to drive adoption of shared frameworks and automation patterns across teams

Minimum Qualifications:

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