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Key Responsibilities : A : Understands the business vision from the data solutions and works with all project stakeholders to enable thatB : Works alongside multiple other project team members to drive towards the common goalC : Helps the business analysts to create data mapping documents that define the end to end pipelineD : Builds and delivers data pipelines that ingests data structured and unstructured from multiple sources into the target data lakeE : Builds the data management layer in line with the business need
Technical Experience : A : Understands Infrastructure concepts and has worked with multiple cloud tenantsB : Proficient with data warehousing and traditional ETL technologiesC : Strong experience in writing stored procedure, functions and triggers in SQLD : Strong experience on Azure ecosystem and has worked with data management on Databricks, ADF, Blob Store, ADLS etcE : Strong coding experience in Spark primarily PySpark Must be able to effectively churn out complex transformation requirements with ease
Professional Attributes : A : Good communication skills and other soft skills
Educational Qualification : A : Minimum 15 years of full time Education
15 years of full time education
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