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Come join First American's Digital Title Group, newly formed to re-imagine and digitize the title search and examination process through Big Data, AI, document automation and modern, cloud-native application development.
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Familiarity with artificial intelligence/machine learning, IoT, big data, and cloud technology. Develop and implement a comprehensive digital marketing strategy including account-based marketing, email marketing, lead nurturing, retargeting, display advertising, paid search, SEO, and SEM to create and advance pipeline.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in Big Data, search and chatbot technologies. Actively contributes to the architecture/design of data collection and processing pipelines. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
$151,200 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company.
$199,500 - $340,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc). Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications.
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Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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Utilize experience with Amazon Web Services Informatica tools (PowerCenter, Big Data Management, Master Data Management), MarkLogic, SAS Analytics, python, and R. Demonstrate knowledge of the pharmaceutical and healthcare business, and utilizing this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions.
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Training & Certifications: Splunk, AWS, Big Data/Cloudera, VMWare, Scrum Master. Technology Tools: AWS, Open Search and Python Data Science tools. With minimal supervision provide accurate, timely, complex and sophisticated data analysis in support of key Agency, US national security, and foreign policy objectives and to shape Intelligence Community (IC) analysis priorities.
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Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. Fidelity Investments – Senior Data Scientist – AI, Machine Learning, Big Data.
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5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos. Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
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In 2022, the organization launched a new brand identity and logo, a new website, and new scientific initiatives bringing together the disciplines of immunology and big data/bioinformatics.
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