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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using Microsoft tools.
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For entry-level data scientists, 0-3 years of experience on Data Science projects. ), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
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IntelliBridge delivers Data Science and AI-powered DevSecOps, Intelligence, Cloud, and Cyber solutions for our nation’s most critical missions. Public Trust clearance requires a background investigation (BI) and entry on duty (EOD) status.
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Demonstrated experience with one or more major commercial metadata data catalog platforms such as Collibra, Alation, Informatica AXON, IBM Information Governance Center, Azure Data Catalog.
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HR Data Specialist. This role will also drive delivery of HR data analytics for all Corporate functions. Excellent skills in Excel, Word, PowerPoint, Power BI, Data Analytics tools.
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Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.
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Experience with Snowflake cloud data warehouse. Experience with Google Cloud Platform technology stack: BigQuery, Data Flow, Data Fusion. Experience with SSIS, data integration, and ETL/ELT procedures.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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In the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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The Systems and Data Engineer will ensure that automated data workflow exchanges using HL7, FHIR, RESTful Services, and JSON formatted data with external systems and applications are able to be ingested and processed by MHS GENESIS in order to achieve functional and clinical objectives.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Strong experience with Data Modeler, Association Manager, Workflow Builder, Form Builder, Report Manager, Integration Object, Data Integrator, Portal Builder, Navigation Builder and State Family Manager tools in TRIRIGA.
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We are seeking a highly skilled Data Systems Software Application Developer to join our dynamic team in support of NASA Jet Propulsion Laboratory (JPL) projects. Our core expertise lies in Cybersecurity, Cloud Architecture & Security, Cloud Chargeback/Allocation Models, Data Analytics, Portfolio Management, DevSecOps, Agile as well as Web Development.
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Capital One Software is exploring how its data warehouse optimization, cost insights, and governance solutions benefit cloud-native companies. At least 4 years of experience with cloud services (AWS, GCP, Azure), data clouds (Snowflake, Databricks), or data manipulation languages (SQL.
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data entry jobs Title: warehouse Company: Adecco Usa in Virginia, MN
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