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The Nanofabrication/Integration Engineer will help to bring the lab-to-fab concept to life by working with researchers on projects in the Notre Dame Nanofabrication Facility. The Nanofabrication/Integration Engineer will be responsible for developing expertise on the nanofabrication facility tools, executing projects for external customers, documenting processes, and training users on facility tools.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
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Bachelor of Science degree in Engineering or Licensed Professional Engineer (2) (3) Knowledge of engineering designs, principles and practices. Licensed Professional Engineer (2) (3) Strong understanding of the process and procedures related to integration of distributed energy resources (DERs) to the electric system.
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As a Data Integration Engineer, you will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient extraction, transformation, and loading of data from various sources into our data warehouse.
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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, AWS Glue, IBM InfoSphere DataStage, or any ETL applications.
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Job SummaryCharles River Laboratories: Data Engineer There’s never been a more exciting time to be on the Enterprise Data Analytics team at Charles River Labs! 2+ years of experience with Azure Data Factory, Azure Data Lake Gen2, Azure Databricks, Blob Storage, Azure SQL Database, Azure App Service, and Azure functions.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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The Principal Cyber Data Engineer role will be located in Beltsville, MD. Peraton’s DSCM program encompasses technical, engineering, data analytics, cyber security, management, operational, logistical and administrative support to aid and advise DoS Cyber & Technology Security (CTS) Directorate.
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Experience with data warehouses: Snowflake, BigQuery, RedShift. You will be the foremost contributor providing data operations leadership to translate model outputs into value for our customers and helping to build a growing data organization.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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1+ years of data warehousing experience (Redshift or Snowflake) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Fargate) The team also manages data ingestion patterns to the HR Data Warehouse (People Data Platform), tackling new application development, enhancements to existing applications, and pushing the bar on availability for all applications which serves at least 20k+ customers on a daily basis.
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Capital One’s HR Data team focuses on how to improve the experience of an associate by drawing insights and making changes to serve our customers better. 1+ years experience working on real-time data and streaming applications.
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Title: data integration engineer Company: Trash Sergeant
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