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CBTS is searching for an experienced data scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around optimizations, data science and big data analytics.
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Data Integration and ETL: Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics. Exposure to Databricks or similar data engineering platforms is a plus, especially in the context of data processing and analytics.
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Cloud platform certifications (AWS Certified Solutions Architect, Microsoft Azure Data Engineer, etc. Experience with data integration and ETL tools (e.g., Informatica, Talend, dbt). Integrate Snowflake with existing systems, data sources, and BI tools (e.g., Tableau, Power BI.
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3+ years of big data technology (Hadoop, Spark, Kafka), as well as cloud services (AWS preferred, Azure, GCP) in a storage/processing capacity. Nice to have certifications: AWS Certified Solutions Architect, Azure Data Engineer Associate, Databricks Certified Associate Developer for Apache Spark.
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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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Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). We build physics-based, rule-based, data-driven, and machine-learning models to simulate processes and recognize patterns in drilling, completions, and geoscience operations.
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Prior experience with plant identification, GPS data collection, GIS mapping, and wetland and wildlife survey methods are essential. · Experience utilizing GPS units and field data collection applications, such as TerraSync, Trimble Pathfinder Office.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Strong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
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5+ years of exposure to Azure Services and big data processing solutions. In this role, you will be responsible for designing, developing, and maintaining Master Data Management (MDM) solutions using Profisee and performing advanced data processing, analytics, and transformation using Databricks.
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Analyze construction quality-related data from a variety of sources including audit logs, nonconformance logs, contract review logs, audits conducted by IQA, PHMSA, and similar data. Assist in reviewing Supply Chain Vendor Data Documentation.
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Experience in data science within oil and gas, ideally with upstream/midstream operations and petroleum engineering workflows. GTN Technical Staffing is seeking a Data Scientist for a Direct-Hire, FTE role in Houston, TX. The Data Scientist will create data-driven solutions for operational challenges within the oil and gas industry.
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Assess ITAM, CMDB, and SCCM data for field validation, clean-up, and correlation of data elements. Experience with ITAM, CMDB, and SCCM/MECM data management. The Desktop Automated Software Delivery Project is focused on expanding software titles to the application catalog in Software Center and the Service Catalog, data synchronization with ServiceNow, and further automating software delivery for our growing customer base.
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big data jobs Company: Jpmorgan Chase in Houston, PR, Australia
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