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Instream flow incremental methodology (SEFA), and statistics (R, SPSS, Excel, Python, etc.) Responsibilities: Lead and grow a team of water resource professionals and support staff Manage project delivery and meet client expectations Perform water resources assessments Analyze and interpret water and environmental resources data Develop and review models (e.g., hydrologic, hydraulic, hydrodynamic, hydrogeologic, physical habitat, etc.
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Technical Skills: Proficiency in programming languages such as Python, Java, or Scala; experience with data processing frameworks like Apache Spark; strong SQL skills. Cloud Experience: Hands-on experience with cloud-based data engineering tools and services, such as AWS S3, Redshift, Glue, Azure Data Lake, or Google BigQuery.
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4+ years of experience with Microsoft SQL Server, including SSIS, SSRS, and SSAS or with Azure data tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. Design and implement scalable, efficient, and secure data warehouse architectures using Microsoft SQL Server, Azure Data Factory, Azure Databricks, and other Microsoft data tools.
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Experience with delivering Contract Data Requirements List (CDRL) documents to the customer. Specifically, proficiency in one or more of the following languages is preferred: PowerShell, Python, Bash, or YAML (executed/managed via Ansible.
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Experience with one or more programming/script languages such as Python, GoLang, Shell, Ruby, bash, shell, Perl. Experience with Containers and Container orchestration Kubernetes platforms such as PODMAN, docker, EE/OpenShift/Rancher And packaging tools such as Helm Charts and Kustomize.
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Lead the integration of Big Data platforms (e.g., Hadoop, Spark, Kafka) with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Expertise in Big Data technologies (e.g., Hadoop, Spark, Kafka, HBase) and platform.
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They will provide specialist expertise in product development, hardware verification, engineer mentorship and support to other cross functional teams ( MFG, R&D, FW, ME and Test). Expertise with Altium Designer, Orcad/Allegro, or similar ECAD tools.
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As a part of Compliance Technology, the Software Engineer Manager will support Americas Financial Crimes Compliance (AFCC) by managing a team of full-time employees and consultants to design and develop data processing solutions for BSA / AML Solutions using Informatica ETL, Oracle, PL/SQL, SAS, Transact SQL, and scripting languages including Unix shell scripting and Python.
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Experience in SAP integration with trading platforms (e.g., FXall, 360T) and market data feeds (e.g., Bloomberg and Reuters). A strong understanding of cash management, FX, Debt capital markets, and interest rate risk management.
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Credentials and Qualifications: High School / GED Required Certified Radiologic Technologist (CRT) - ARRT (R) Two (2) years experience in an MRI Technologist Role – post-certification ARRT certification in MRI BLS (Basic Life Support) Required Preferred: Associate degree in MRI / Allied Health Three (3) years of previous MRI experience in a hospital setting is preferred.
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Attain cutting edge expertise with relevant data readouts, podium and medical congress outputs. The Associate Director, Thought Leader Liaison (ADTLL) will be responsible for Key Opinion Leader insight generation to inform and evolve brand strategy for the endometrial and thyroid cancer indications in the East region.
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There is a wide range of residential choices to fit every budget and lifestyle – whether you are looking for big city downtown living, golf course communities, waterfront lifestyle, majestic horse farms or historic neighborhoods.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Must have experience using various Geospatial tools such as Arc GIS, Excel, SPSS, SAS, MatLab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially to assist in data integrity checks, prepare analysis, develop next level queries, prepare presentations materials, and display analytical assessments for senior leadership.
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Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Use key skills include association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), object-oriented programming (Python, SAS.
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