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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Expertise in Databricks, Apache Spark, and big data technologies. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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Curing: hanging and dry-racking flowers; monitoring curing process and climate control; labeling; weighing and inventory data input. Cloning: cutting, rooting, and transplanting; clone care, watering, and feeding; clone monitoring and climate control; labeling; and inventory data input into the state-mandated electronic tracking system.
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Bachelor's degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Experience performing commissioning, qualification & change control activities related to BMS including but not limited to HVAC, chiller plants, domestic and process water systems, building automation systems, etc.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Knowledge of big data processing and analytics tools on gcp like bigquery dataproc experience in big data processing and analytics tools on gcp like bigquery. Our areas of expertise include application modernization ecommerce uxui design product strategy data analytics and artificial intelligence.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Must have four (4) years of experience with: Cloud data engineering experience in at least one cloud (Azure, AWS, GCP); Integration of multi-cloud services with on-premises technologies; Version control systems like Github and deployment of CI tools; At least one MPP database technology such as Redshift or Synapse or SnowFlake.
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big data control jobs Company: Salesforce in WA, Massachusetts
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