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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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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.
$256,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Experience leading Big Data engineering teams working in environments such as Hadoop and Spark. Confirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.
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Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Immediate need for a talented AWS Big data Architect. Key Skills; Big data, AWS services and Data engineering.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In depth knowledge in Big Data solutions and Hadoop ecosystem. At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions. Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We make Brawny® paper towels; Dixie® paper cups and plates; Angel Soft® bath tissue; enMotion® paper towel dispensers, DensGlass® gypsum board and Plytanium® plywood you see in your big box home improvement stores and much more.
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Experience with cloud data warehouses like Databricks, Snowflake, Synapse, Redshift, Big query. Create and support architectural models and technical design documentation, which includes current and future state process flows, applications/database objects, specifications that detail proposed database and/or data integration implementations.
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Create and implement short-term and long-term data strategy roadmap to reflect strategic initiatives that comprises of Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse.
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This is a strategic position that utilizes data mining, big data, analytics, data science and visualization tools to generate unique and creative points of view that help advance a holistic and statistically driven view of market dynamics (Through the lens of total delivered costs.
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Create and implement short-term and long-term data strategy roadmap to reflect GTRI strategic initiatives that comprises of Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse.
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Primary Job Responsibilities Create and implement short-term and long-term data strategy roadmap to reflect Client strategic initiatives that comprises of Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse.
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Google Cloud – Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage. Google Cloud Professional Data Engineer Certification is an advantage. Job Title: GCP Data Engineer. Must have an experience in data setup work to support front end application.
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Experience in Big Data environment specifically Databricks and/or PySpark. The Lead Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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Job Purpose and Impact The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.
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big data jobs in Atlanta, ID, Canada
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