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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Experience with statistical programming or software (e.g., R, JMP) and NGS reagents a plus. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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NAVA Software solutions is looking for a Big Data Engineer. Big Data Engineer. Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms.
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National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. We are seeking a passionate Controls Engineer looking for a challenging and diverse career experience.
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Experience with the following types of tools a plus: SAS, Apache Hadoop, Tableau, TensorFlow, BigML, Knime, RapidMiner, Apache Flink, DataRobot, Apache Spark, MongoDB, Trifacta, Minitab, Apache Kafka, QlikView, Julia, SPSS, Keras, Matplotlib, Pytorch, scikit-learn, Weka, Domino Data Science Platform, IBM Watson Studio, and Google Cloud AI Platform Degree Requirements: Bachelor of Science.
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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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Java, Scala, Python, Spark, Cassandra, Solr, Hadoop, big data, ETL, SQL, REST, API, data science, machine learning, Pig, HiveQL, Kafka, YARN, spatial data, GIS. (e.g. Tensorflow and scikit-learn) is a plus.
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Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 4 years' experience in software engineering.
$95,000 - $167,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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Basic Qualifications for Principal Level: Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or other STEM (Science, Technology, Engineering or Mathematics) discipline with 5 years of software engineering experience (3 years for MS degree, 0 years for PhD) US Citizenship is required The ability to obtain and maintain a DoD Secret clearance is 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 modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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AI/ML, cloud, Data Science , Python, R, CAIP, DLVM, Big Query, NLP notebook, Python notebook services, R Notebook services, Data exploration services, Data visualizations, Tableau, Terraform , TensorFlow.
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big data science a plus software engineer jobs Company: Bedgear
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