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Expertise in cloud architecture/platforms (Azure), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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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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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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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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If this sounds like an environment where you can thrive, keep reading Are you an experienced Senior Data Center Infrastructure Engineer looking for a new challenge? Must possess a U.S. DoD Secret clearance and be able to obtain a TS/SCI. Primary Responsibilities Your Main Objective: Provide support with the design, implementation, operation, and maintenance of full stack data center infrastructure, including but not limited to: Compute, Storage, Networking, Power, Cabling, Racking, Virtualization, Containerization and physical facility infrastructure.
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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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Data Engineer - Manufacturing page is loaded. The Manufacturing Data Engineer. Data Engineer - Manufacturing. ETL/ELT processes (ADF, Azure SQL, Azure Data Lake, Databricks, Power BI.
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Fraud Analytics seeks a motivated and talented Lead Data Engineer (Data Architect I) to contribute to the Fraud Analytics units efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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We are seeking a highly skilled and experienced GCP (Google Cloud Platform) Data Engineer with more than 6 years of expertise to join our dynamic team. The GCP Data Engineer will play a pivotal role in designing, implementing, and optimizing data solutions on Google Cloud Platform.
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Experience in Building Data Governance Solutions like Unity Catalog, Azure Purview etc. Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD Pipeline Designing and other Azure services like functions, logic apps.
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The SCADA/MES Data Engineer is responsible for leading our IT-OT integration efforts, driving digital transformation, and supporting operations management. Strong understanding of data skills and tools, including cloud services such as Azure IoT Hub, Azure Data Factory, databases such as MSSQL, MySQL, SQLite, and BI tools such as Excel, Power BI, Tableau, and Knime.
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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: Useready
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