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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.
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Solid understanding of Sitecore CMS architecture, including SXA templates, layouts, renderings, Solr Search and content management. Integrate third-party systems and APIs into Sitecore and React applications, ensuring data integrity and system compatibility.
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Experience with one or more data toolchains such as Amazon SageMaker, Apache Kafka, Elastic Search, Spark, EMR, Kinesis, Glue, Redshift, etc. Hands-on experience with one or more of modern UI frameworks such as Angular, React, Knockout, Vue.js and HTML5, CSS preprocessors.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). Experience with streaming of data - Kafka or Kinesis and exposure to the AWS environment.
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The Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.
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Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc. The Data ETL Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the usability and value of institutional data.
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20%) Oversees the fulfillment of requests for vital statistics data from a variety of internal and external stakeholders such as the Office of Inspector General Medicaid Fraud Unit, Teachers Retirement System of Texas, Texas Secretary of State office, Social Security Administration and HHSC Medicaid Eligibility per contractual agreement.
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Azure Data Engineer (Lead) with skills Oracle ADF, Azure Data Factory, synapse, databricks, Azure Datalake for location Bangalore, India Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Systems built upon open source storage and search technologies including Cassandra, Kafka, Solr, Postgres and Redis. We are seeking an experienced and dynamic Site Reliability Engineer (SRE) Operator to join our team in maintaining the reliability, availability, and performance of our systems.
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