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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. These providers work in a specialty clinic, and may specialize in Palliative Care, Pulmonary, Infectious Disease, Endocrinology, Gastroenterology, Cardiology, Dermatology, Urology, Nephrology, Neurology, Hematology, Oncology, Allergy and Immunology, Rheumatology or other medical specialty.
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Job title: Lead Azure Data Engineer / Architect. Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS). This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Direct experience with Mergers/Acquisitions, specifically O365 data migrations (email, Onedrive, SPO) and AD migrations is a plus. Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
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We are accepting applications for our very own DoD SkillBridge Fellowship Program supporting the Data Center Operations, Critical Facilities Engineer. DoD Military Skillbridge - Data Center Facility Engineer (HVAC, Mechanical, Electrician, Security Systems)Equinix is the world’s digital infrastructure company, operating 200+ data centers across the globe and providing interconnections to all the key clouds and networks.
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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, Machine Learning engineers for full time positions with clients.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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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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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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People Analytics: Develop and execute a strategy that enables People Partners and Business leaders to make data-driven decisions about talent. This role will serve as both a strategy architect and hands-on operational leader reporting to the Chief People Officer.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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data job Title: architect Company: Usaa in Dallas, TX
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