Role-Databrick Senior Developer/ Architect

Experience: 8-10 Years.

Location- PAN INDIA

Must have

• Must have experience at least end to end implementation of Databrick cloud data warehouse and end to end data warehouse implementations on-premise preferably on Oracle.
• Expertise in Databrick data modelling, ELT using Databrick SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Databrick advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Databrick features such as data sharing, events and lake-house patterns
• Hands-on experience with Databrick utilities, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Databrick cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and databrick, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS).
• Certified Databrick cloud data warehouse Architect (Desirable).
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication