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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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As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining our client's data infrastructure while ensuring scalability, reliability, and efficiency.
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IT Governance of all site implementations, inventories, infrastructure planning, escorting, preventative maintenances and break/fix services for data center critical infrastructure, IT certification labs, and remote communication room critical environment equipment.
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A data engineer is responsible for designing, developing, testing, documenting, and maintaining data warehouse and analytics architecture to meet UCSF's data and analytics needs.
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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.
$86,000 - $138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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As a Cloud Data Architect, this role will be instrumental in enhancing and supporting our Enterprise Cloud Data Warehouse currently on Snowflake. The ideal candidate will have a strong background in data architecture, experience with Snowflake Cloud Data Warehouse, and proficiency in ETL processes.
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The Principal Data Engineer also manages and coordinates data analytics delivery activities in compliance with data governance processes and data security requirements.
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Title: data engineer Company: Iris Consulting
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