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Job Description
Structured overview of role & requirementsAbout This Role
Design and build scalable, production-grade data engineering solutions on Databricks Lakehouse Platform.
Develop client-focused Proof of Concepts showcasing modern data engineering and analytics capabilities.
Translate business and analytical requirements into robust multi-layered data models and design data ingestion, transformation, and orchestration pipelines following Databricks best practices.
Minimum Requirements
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
2-3 years of experience in ETL or data management.
Experience with Databricks Lakehouse Platform and data pipeline design required.
Work Experience Required: 2-3 years (explicitly mentioned).
Ideal Candidate Profile
Experience in designing and implementing enterprise-grade data governance, security, and access control using Databricks Unity Catalog.
Strong ability to translate business analytics needs into technical data models (Bronze/Silver/Gold architectures).
Comfortable with developing client-facing Proof of Concepts demonstrating advanced data engineering and analytics.