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Familiarity with CI/CD tools (GitHub,Jenkins, UCD) and data storage solutions (PostgreSQL, MS SQL, AmazonRDS/Aurora, Databricks, Snowflake). As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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An Air Transportation Data Analyst will initially possess a basic understanding of APS/AMS Data Records functions and will be trained to efficiently troubleshoot and/or resolve TWCF reconciliation requirements.
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Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models. Proven experience in Data engineering (Batch, Streaming) and API development frameworks.
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Business Technologies, Digital and Data. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Developing technical proficiency in Treasury systems including but not limited to Quantum, TRAX, bank portals, and general ledger systems. + Strong data analytics skills and previous experience developing queries to data mine information out of system(s) via Structured Query Language (SQL) programming, Python, and cloud based databases.
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Expertise in designing and developing software applications in java and python including experience with microservices (spring boot and/or Flask) Passion for technology and an eagerness to contribute to a team-oriented environment.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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At Home Data entry or customer service representative experience is not required but useful. At Home Data entry or customer service representative experience is not required but useful. This position is opened to anyone searching for short-term, work from home, part-time work.
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The Data Product Interface (DPI) team in Capital One is disrupting existing data access patterns to optimize and elevate data access to Data Products within Capital One. Our cutting edge system is built using modern tech stacks and deployed in the Cloud as a platform to meet Enterprise needs.
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Capital One is seeking a data protection subject matter expert to deliver game-changing cybersecurity solutions based on threat, data, and design thinking. At least 1 years of experience with Symantec Data Loss Prevention (DLP) infrastructure engineering.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Performs HMIS (SIMS) data entry, reviews data for accuracy, completeness, and comprehensiveness. Conducts interviews with Veterans and their dependents and reviews background data on current medical and financial history to obtain information needed to determine eligibility.
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Proficiency to manipulate data (Python, R, SQL, SAS). CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights.
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Perform specialized data culling and identification in Relativity for search terms, date ranges, folder paths, and domain types using complex searches and custom indices (i.e. privilege screens, data prioritization) for matters involving litigation holds, and other DOE/OGC/OIG matters.
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