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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 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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The CII staff members are specialized in big data and information technology, civil and environmental engineering, computer science and engineering, and mechatronics and mechanical engineering.
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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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Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks) · Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Experience with machine learning, statistical techniques, text mining, natural language processing, computational linguistics and information retrieval is a plus. 2+ years of hands-on experience in Cloud Big Data Databases such as Snowflake, Amazon Redshift, etc.
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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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NAVA Software solutions is looking for a 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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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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Working with analytics and construction management software packages including Cora, Power BI, Primavera P6, Primavera Unifier, @Risk, Tableau; Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Experience using Leica Infinity, Trimble Business Center, AutoCAD / Civil 3D, and other office software a plus. Experience with Leica and Trimble Data Collectors, robotics and GPS software preferred.
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big data science a plus software jobs Company: Bedgear
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