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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Role: Artificial intelligence Architect with Azure Experience (Hybrid Role) NYC NY. Azure Metrics Advisor – monitoring and diagnosing issues in time-series data. Business intelligence – combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. Experience with cloud platforms such as AWS, Azure, or GCP.
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Experience with cloud-based databases, specifically Azure technologies (e.g., Azure data lake, ADF, Azure DevOps and Azure Functions)." Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
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Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT Kafka). Overall 6+ years of hands-on experience in computer/software engineering with majority in big data engineering.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
$85,300 - $161,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$101,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Nice to have: Azure SQL DB, Azure SQL MI, Azure Data Factory, Azure Synapse, Azure Databricks. Experience in migrating data from on-prem Hadoop to AWS/Azure Cloud.
$110,000 - $204,100 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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These experiences are full-stack solutions built atop a complex and robust data platform in order to support key security workflows for both third-party risk management and external attack surface management personas.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
$150,000 - $190,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role provides coverage to Global Technology’s Enterprise Information Security Office (ISO) and Chief Technology Office (CTO), including risks and controls of the company’s information security program, global infrastructure platforms (e.g., Networks, Cloud – AWS, Azure), DevOps, and Cloud engineering and operations.
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