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Cloud Experience: Hands-on experience with cloud-based data engineering tools and services, such as AWS S3, Redshift, Glue, Azure Data Lake, or Google BigQuery. Contract Duration - 6 months with extensions potential to hire full-time Overall years of experience 3-5 Local, remote, hybrid - remote Interview Process - first round 1 hour interview with hiring manager, second round 30 min with the team Qualifications: Experience: 5+ years of experience in data engineering, with a focus on healthcare data integration and management.
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Hands-on experience with Databricks for data engineering and analytics. We are seeking a highly skilled Data Engineer with expertise in PySpark, AWS, and Databricks to join our dynamic team.
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Strong technical expertise in ETL processing, data modeling and data analytics, to include Actimize Anti-Money Laundering solutions and Bridger insight/LexisNexis Risk Solutions. Sophisticated experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related.
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7+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines. You enjoy challenging projects involving big data sets and are cool under pressure.
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12+ years experience with defining and implementing data lineage and/or modeling programs in a large global bank or Big Four consulting firm. This is a senior role within the Services Markets and Client (SMC) CDO as part of the enterprise CDO and will be responsible for Data Lineage and Modeling validation and support at the SMC level and will support the SMC CDO in various initiatives to improve data management across SMC globally.
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Lead the integration of Big Data platforms (e.g., Hadoop, Spark, Kafka) with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka, HBase) and platform.
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Keywords: Sales Cloud, Service Cloud, Marketing Cloud, Business Central, Microsoft Dynamics Business Central, Microsoft Dynamics Finance & Operations, Dynamics F&O, Microsoft Finance and Supply Chain Management, Microsoft F&SCM, Microsoft Dynamics 365, Dynamics 365 CRM, Microsoft Customer Experience Platform, Business Analyst, BA, Requirements Gathering, User Experience, User Enablement, Data Visualization, Software, Custom Applications, Data Analytics, Cloud Strategy, D365.
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Familiarize yourself with master data associated within the Ethics & Compliance program to identify outliers or trends that require the firm’s response. Extract, transform and visualize relevant Ethics & Compliance data from various sources.
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You will research, study, and analyze demographic data, attend public meetings, develop roadway and signal system concepts, use GIS mapping and CAD design software to complete reports, memos and plans pertaining to Alliant projects.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Minimum 8 years of experience in Big Data and Data Engineering using Scala or Java Python good to have. Job Title: Sr. Big DATA Developer. Big Data and Reporting System integration through API knowledge is added advantage.
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Sector- and/or process-specific experience in D&A strategy and transformation, as well as exposure to design and implementation needs with a good understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities.
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The Research Data Coordinator I consults frequently with the study coordinator and trial sponsor and internal monitors regarding data requirements, query resolution, and data capture.
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Proficient with Azure Synapse orchestration and transformation tools, Azure Data Factory, or Azure Databricks. Familiarity with SQL and data modeling, including SQL Server Analysis Services BI stack (SSIS, SSAS, SSRS.
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big data jobs Title: microstrategy in Tampa, Wailuku, Hawaii
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