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Key Responsibilities : A : Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and / or Azure Databricks B : Developing scalable and re-usable frameworks for ingesting of geospatial data sets C : Working hand-in-hand with the data architects deploying scalable API services in a perfect fit with the data architecture platform
Technical Experience : A : Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM TemplatesB : Experience with relational SQL and NoSQL databases, including Postgres and CassandraC : Experience with object-oriented / object function scripting languages : Python, SQL, Scala, Spark-SQL etcD : Experience building and optimizing big data data pipelines, architectures and data setsE : Experience in working with cross-functional teams
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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