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Hands-on experience in different domains, like database architecture, artificial intelligence, machine learning, advanced analytics, big data, etc. Around 6+ years of total experience and 3+ years as Client/LLM model developer using cloud technologies.
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Experience with Big Data platforms such as Databricks is a plus. Architect, design, develop and maintain data engineering solutions primarily utilizing Python, SQL and Apache Spark based platforms.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Big Data / Data Lakehouse / traditional RDBMS/data warehouse/mart. Experience in building denormalized data warehouses (star schemas, fact dimensional modeling) for citizen developer/BI user users.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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We are looking for a Senior Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies. 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Department ProfileGMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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The candidate should have extensive experience in the bigdata developer with data engineering/big data developer. Data Engineer for databricks/ Hadoop/ scala.
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Conducts data analysis (SQL, Excel, Data Discovery, etc.) Conducts data lineage and impact analysis as a part of the change management process. Implement and maintain data governance policies and procedures to ensure data quality, security and compliance.
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Data scientist will be embedded in the Wolfram Goessling laboratory at the New Research Building (77 Avenue Louis Pasteur) in Boston, Massachusetts, located in the Harvard Longwood Medical Area. The laboratory has 7-12 other scientists at varying stages (technician, graduate student, postdoc) of training.
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Collect and preprocess IoT-scale data from on-farm and remote monitoring equipment including: yield, farm treatments, irrigation, soils, satellite and drone imagery. Using large-scale cloud and machine learning algorithms, the Data Scientist will construct data preprocessing pipelines, predictive models, optimization algorithms, and decision support systems.
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big data jobs Title: senior developer Company: Verizon in Boston, MA
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