About the role
Date- 25-Jul-26
JD
- 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