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Experience with other technologies Microsoft BI Stack, Microsoft Power Platform, SAP ECC, SAP BW & Business Objects, SQL Server, SSRS, Databricks, SAS, Hadoop, Tableau.
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Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning, Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse. Expérience avec les services infonuagiques de Microsoft Azure : Machine Learning , Databricks (ou Apache Spark), Data Factory et SQL Data Warehouse.
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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Experience with ETL Tools (SSIS, Informatica, Ab Initio, Talend), Python, Databricks, Microsoft SQL Server Platform (version 2012 or later), and/or working in an Agile environment.
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Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP.
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Experience with Microsoft Azure Data Integration Stack and related cloud services (Azure Data Lake Gen2, Azure Data Factory, SSIS, Azure SQL Server) Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines. Languages: SQL, Python, Java, R, C# / C.
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This includes but is not limited to Azure databases, Azure Machine Learning, Azure Data Services, Azure Databricks, and Azure Synapse Analytics along with On Prem implementations of SQL Server etc.
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Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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Having Microsoft SQL Server BI stack (SSAS/SSIS) experience is preferable. · Experience with big-data technologies Spark/Databricks and Hadoop/ADLS is a must. · Experience building data lakes and data pipelines in cloud using Azure and Databricks or similar tools.
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Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care.
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Good to have - Azure, MS SQL. · Experience in any one of the cloud platform Azure (Preferred), AWS or Google. Role - Sr. Big Data Engineer. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses.
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Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths. DevOps: git, docker, subversion, Kubernetes, Jenkins.
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Philanthropic Partnerships -Opportunities to engage in partnerships and pro-bono projects that support our communities. CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sourcesin order to enabledecision-makers.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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