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Medium due to Deloitte brand and Bangalore location despite niche Databricks specialization.
Medium because Azure Databricks and cloud ETL skills transfer, but Spring Boot/backend specifics reduce portability.
High because explicit 3–9 years and mandatory Azure Databricks, ADF, PySpark, and Spring Boot skills.
Design, develop, and deliver scalable backend applications using Azure Data Factory and Azure Databricks ETL/ELT solutions.
Build enterprise-grade microservices and RESTful APIs adhering to software engineering best practices.
Collaborate with cross-functional Agile teams to produce high-quality, maintainable cloud-native applications.
3 to 9 years of experience in Azure Databricks.
Strong programming skills in Python, SQL, PySpark, Spark SQL.
Experience with Azure Cloud Services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Blob Storage, Azure Monitor.
Bachelor's degree in Computer Science, IT, Engineering, or related field; Work Experience Required: 3–9 years as specified.
Proven expertise in backend development for cloud-native enterprise applications using Azure.
Hands-on experience with RESTful API design and GoF design patterns, indicating strong architectural skills.
Familiarity with Spring Boot, AOP, unit and integration testing frameworks, signaling a focus on robust engineering and maintainability.