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Manage and Govern big data ingestion and storage in the on-premise data platform like Cloud Era Platform (CDP) and in Azure ADLS2, for streaming as well as batch data from source applications.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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General Experience in developing with Microsoft SQL Server Reporting Services, Microsoft Power BI or other major end-user data access toolset (Preferred) The Data Warehouse Developer plans, designs, builds, tests and deploys data warehouse and data mart solutions to support the clinical, and administrative activities at Temple University Health System.
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We are seeking a skilled Martech Software Engineer with expertise in marketing technology platforms such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python, and some experience in data engineering.
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Data Management | Digital Transformation | BI | Business Intelligence | Management | Master Data Management | MDM | Data Governance | Azure | Databricks | PowerBI | Data Analytics | Retail | Data Transformation.
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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. - Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Focus on data modeling, data quality, data integration, and data governance. Identify and implement opportunities to optimize data storage, processing, and retrieval performance, including database tuning, indexing strategies, and data partitioning techniques.
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As a Trauma Registrar RN, you will be responsible for overseeing the trauma registry database to include patient identification, abstraction, coding and entering data; retrieval and presentation of registry data for quality improvement, education and research.
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You are someone who has experience with and enjoys wearing many hats related to data, from developing big picture data strategy, to analyzing data for a stakeholder presentation, to writing code to optimize data flow into a data warehouse or a dashboard data source.
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At least 1 year of experience in big data technologies. Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Depth of understanding of business intelligence software such as Datorama, an expertise in media data and financials (PRISMA, Ad Servers) and cloud base services such as Snowflake, Databricks, Azure.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Detail oriented, ability to analyze data and use Excel effectively, good communication skills, interest in water and wastewater treatment and conveyance. A candidate in this position will collaborate with engineers, designers, planners, scientists, and operators across the Department to provide strategic planning services, including facilities asset management planning, project data analysis and aggregation, facilitating project sequencing, and budget analyses.
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Moreover, the team is also actively investing in nascent technologies such as Blockchain, AR/VR, NLG, AI/ML and Big Data Analytics. 2+ years of experience in planning, analyzing, designing, architecting & supporting large Enterprise Big Data Platforms.
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big data jobs Title: sonographer in Philadelphia, PA
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