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About the role
10+ years of industry experience including cloud technologies. Very strong hands-on experience in Databricks with AWS/Azure cloud service in Data engineering/Data processing hands-on. Must have Databricks Implementation experience Hands on experience in AWS Cloud-based development and integration Strong knowledge on Pyspark and Python, PLSQL - Data engineering pipeline Practical experience with Data Engineering and the accompanying DevOps DataOps workflows 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, requirement and work on the development. Experience working in a Financial Industry. Certification on Databricks and AWS will be added advantage
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