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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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The Lead Full Stack Software Engineer in EDPA will work with the architects, product owners, and fellow engineers to lead the design, development, and deployment of software architectural components and solutions for system-to-system integrations, and cloud infrastructure provisioning automation, data integration pipelines, data modeling with high security, performance, and low total cost of ownership.
$96,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or.
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A thought leader and evangelist to drive knowledge and application of machine learning and data science at all levels of T-Mobile. 4+ years’ experience using Python, R, SAS, and/or other predictive modeling and machine learning tools in big data environments.
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Experience working with data visualization tools to deliver results Mainly with Looker Position 2 Data Engineer Location Austin, TX Tampa, FL (Remote for Now) 3+ years' experience in technologies including Hadoop, Spark and Big Data platforms, RBDMS, NoSQL like Druid and Postgress Advanced SQL capabilities are required.
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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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National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. 2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park! National Instruments TestStand Software.
$80,000 - $120,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Java, Scala, Python, Spark, Cassandra, Solr, Hadoop, big data, ETL, SQL, REST, API, data science, machine learning, Pig, HiveQL, Kafka, YARN, spatial data, GIS. Senior ML Pipeline Engineer.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. The Sr. Thermal engineer plays an active role in developing thermal components using 3D CAD software and advanced engineering analysis.
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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
big data science plus software engineer jobs Company: Bedgear
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