9+ years of industry experience including cloud technologies.Very strong hands-on experience in Databricks with AWS cloud service in Data engineering / Data processing hands-on.Hands on experience in AWS C loud-based development and integrationProficiency in programming languages Scala and PLSQL for data processing and application developmentPractical experience with Data Engineering and the accompanying DevOps & DataOps workflowsStrong knowledge on Pyspark and Python, Databricks SQL - Data engineering pipelineExperience 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 advantageSkills Required
Databricks, Pyspark, Apache Spark, Azure Data Factory, Azure Data Lake, Sql, Scala