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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Experience working with Data bricks, Snowflake and ADF. Development experience using Databricks and Snowflake or equivalent. Experience working with Data bricks, Snowflake and ADF. As a Technical Lead, you will be responsible for leading development and support of Reinsurance Business Intelligence Application used extensively by Reinsurance business teams.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data Engineer Specializing in ADF (Azure Data Factory), Databricks, Spark SQL, and Dashboard Development. We are currently seeking a skilled Data Analyst with proficiency in Azure Data Factory (ADF), Databricks, Spark SQL, and dashboard creation.
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Proficient use of the Azure technology stack (ADF, Data Bricks), techniques, and manipulation including Cloud platforms, object-orientated programming (Python, SQL), and an understanding of data engineering practices.
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Expertise across the Oracle Fusion Tech stack including but not limited to: Oracle Integration Cloud (OIC), OTBI, VBCS, Java, Oracle Database, XML/BI Publisher, ADF, SQL, PL/SQL, FBDI etc. Expertise across the Oracle Fusion Tech stack including but not limited to: Oracle Integration Cloud (OIC), OTBI, VBCS, Java, Oracle Database, XML/BI Publisher, ADF, SQL, PL/SQL, FBDI etc.
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Understanding and experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - Azure (ADF, Synapse, Power BI), AWS (Glue, Redshift, Sagemaker), GCP (BigQuery, Vertex, Cognitive Services), Snowflake, Tableau.
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