- Very solid hands-on experience in Databricks with Azure/AWS cloud service in Data engineering/Data processing development projects implementing on Data warehouse.
- Hands-on experience in Azure/AWS Cloud-based development and integration
- Proficiency in programming languages Scala and Spark Data frame for data processing and application development
- Strong knowledge and experience in Facts, Dimensions, data Partitions, and handling large volume of data.
- Experience in handling large data in Databricks and performance optimization as well
- Practical experience with Data Engineering, Data Ingestion/Orchestration and the accompanying DevOps with CI-CD tools
- Strong knowledge of Spark,
Databricks SQL - Data engineering pipeline implementing in Data warehouse
- Experience in offshore/onshore model and Ability and agile methodology.
- Gathering requirements, understand the business need and regular discussion with tech on design, development activities.
- Should have good experience working with client architect/design team to understand the architecture, requirements and work on the development.
- Experience working in a Financial Industry.
- Certification on Databricks and Azure will be added advantage