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Python, SQL, AWS, GCP, Golang, Hadoop, Snowflake, RDBMS, Kakfa, BI Reporting Tools, And Data Science Toolkits. Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery) Big Data Platforms (Apache Spark, Presto, Amazon EMR.
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Data Engineering: Work with SQL Server 2019 and explore the potential of migrating to Databricks cloud data warehouse. Experience with SQL Server 2019 and cloud data warehouses (e.g., Databricks.
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Generate and analyze metagenomics data for the discovery of novel traits for our Plant Biotechnology trait portfolio; Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with Cloud native technologies for processing data at scale and delivering data pipelines including Kafka, Spark, AWS SQS, Lambda, Step functions, ECS, Fargate, Athena, BigQuery, GCP PubSub, Cloud functions, Cloud Run, Kubernete.
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Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps. Databricks table design expertise, familiarity with Teradata Data Definition Language(DDL) table create statements.
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The Boeing Company is looking for a Senior Sustainability Analyst - Data and Quality to join our team in Berkeley, MO or Mesa, AZ. As a Sustainability Analyst in Data & Quality you will help address the growing demand for sustainability and climate-related data, in order to meet our disclosure requirements and enable insightful and quality forecasting, planning and performance against enterprise objectives.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Experience with Data Warehouse and ETL solutions such as SQL Server, Snowflake, Azure, Databricks, Informatica, or similar. Knowledge of Data Science & programming such as Python, R, SQL, SAS, Java.
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Partner with the leader of Analytics to foster the creation of a data-driven culture, grow data literacy across the enterprise and evolve behaviors for the appropriate use of information taking into consideration changing security requirements, privacy needs, ethical values, societal expectations, and cultural norms in collaboration with the CISO and CPO.
$334,794 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Well versed in general administrative and computer skills; experience with CRMs and fund development software such as Raiser’s Edge, Tessitura, or Altru, particularly related to data entry, a plus.
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Experience with Big Data ingest and processing technologies (e.g. ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark) The SWE will be responsible for sustainment activities and manage all aspects of analyst-generated spatial data for NGA. AGCMS utilizes ESRI products to manage storage, discovery, access, dissemination, and processing in a cloud environment.
$156,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Geospatial Analyst job title also covers such subtitles as Data Collector, Source Packager, and Product Delivery Specialist. The geospatial analyst is a flexible role that relies on understanding of basic geospatial concepts of projection, elevation, attribution, and works in conjunction with source materials to update and/or creating new geospatial feature data sets, maps and charts, submitting work through the QA/QC process along a wide variety of mission areas and geographic settings, while meeting deadlines in a high-tempo environment.
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data job in Creve Coeur, MO
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