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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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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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Job Title: GCP & Teradata - Sr. Data Engineer. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
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Hands on Development Experience on AWS/Azure/GCP, Java, Kafka, REST/JSON, Spring, Data platforms and API platforms. Should be very good in hands on programming using Java, Spring, Kafka, Python, REST Services, Web API architecture, design and development.
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Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering. The candidate should possess hands-on experience in data.
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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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Experience with data visualization tools like Tableau. Job title: Lead Azure Data Engineer / Architect. Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS.
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Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning. Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer.
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The ideal candidate will have a minimum of 7 years of hands-on experience using MBS (Metal Building Software) to create detailed drawings and models for metal building structures. Utilize MBS software to prepare detailed drawings, models, and plans for metal building structures based on architectural and engineering designs.
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This role requires a strong understanding of data visualization, SQL databases, and construction project management software. Data Integration: Connect and integrate data from Viewpoint Vista (SQL cloud database) and Autodesk Assemble (construction cloud software) into Power BI dashboards.
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4-6 years of hands-on experience with data engineering required. 3-5 years of hands-on experience with SQL, data modeling, relational databases and/or no SQL databases required.
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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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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies.
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Hands-on experience in Dell Boomi Integration / Boomi Flow. Proficiency in data integration techniques, including ETL processes, data mapping, data transformation, and developing complex real-time interfaces using Boomi API management.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) This Senior Data Engineer is responsible for building solutions to build Data Engineering Solutions using next generation data techniques.
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hands on data visualization jobs Title: senior data engineer in Dallas, TX
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