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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Our strong ecosystem relationships provide a significant competitive advantage, and we are a key partner of a broad range of technology providers, including Adobe, Alibaba, Amazon Web Services, Blue Yonder, Cisco, Dell, Google, HPE, IBM RedHat, Microsoft, Oracle, Pegasystems, Salesforce, SAP, ServiceNow, VMWare, Workday and many others.
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Knowledge of message queuing technologies such as Kafka, Azure Service Bus, and stream data integration technologies or stream analytics technologies such as Apache Kafka KSQL, Spark Streaming and others.
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Solid knowledge of data warehousing such as Hadoop, MapReduce, HIVE, Apache Spark, as well as cloud base data storage: Google Cloud Storage with various formats (Parquet, JSON, ORC, Avro, delimited.
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Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Job Description The Central Civil Works Department is growing quickly in the Great Lakes and Mid-West area, and we are looking for a Senior Structural Engineer who enjoys leading structural design of new and rehabilitated flood risk management systems, locks and dams, floodwalls, navigation floodgates, stormwater pumping stations, outfalls, spillways, and ecosystem restoration.
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The candidate will serve as a Lead Engineer in our Data Management department and should possess deep knowledge of the Hadoop ecosystem such as Sqoop, Spark, Hive, HDFS, Impala, Kafka. Exposure to the components in the Hadoop ecosystem like Apache Pig, Apache Hive, Apache Mahout, etc.
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Work extensively within the Cloud ecosystem and migrate data from Teradata/Netezza/ similar on-Premise Big Data platforms to Cloud based platforms like Big Query, SQL. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.
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Familiarity with Big Data technologies (e.g., Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie). Working knowledge of data visualization tools such as Tableau, Power BI, or Qlik. Familiarity with Git and/or Azure DevOps for version control.
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Experience with machine learning, data mining, and predictive analytics. As a Business Intelligence Developer you will collaborate with DORA personnel and development teams to create sustainable business value by transforming raw data into actionable insights.
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Partners with GSI and ISV ecosystem to influence client’s decision making on behalf of IBM. Engages channel ecosystem where appropriate and guides clients to certified implementation partners Coordinates with technical experts as needed.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark. Experience with a relevant programming language, like Python, R, or Rust. Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP.
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As an Environmental Scientist/Ecologist, you will work in a highly dynamic team environment with other biologists/ecologists/water resource specialists, ecosystem restoration engineers, NEPA specialists, environmental planners, and regulatory experts.
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Knowledge of Big Data technologies (i.e. Hadoop, Spark, Hive, Pig, Sqoop, Flume, Oozie). Experience with Git and/or Azure DevOps. Working knowledge of data visualization approaches (i. e Tableau, Power BI, Qlik.
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Sales Enablement: Work closely with sales and alliances teams to ensure the value proposition, assets, training, support structures, and incentive plans are all in place for a strong sales motion in line with our product and ecosystem capabilities.
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ecosystem spark jobs in Cleveland, OH
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