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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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Commercial grade database management system, data warehouses and/or big data such as SAP HANA, Oracle, MS SQL, Hadoop, or cloud computing platforms (Azure, Google, AWS, etc. Experience - Minimum of ten (10) years of data experience in any combination of the following: Epic Cogito (Radar, Reporting Workbench, SlicerDicer, Epic Analytics Catalog, and their data warehouses: Clarity, Caboodle, Chronicles) Microsoft Azure cloud/Fabric, Synapse, Purview, Power Products (Power BI, Power Apps, Power Automate, Power Pages.
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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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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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Additional preferred qualifications: Python, R, SQL proficiency, experience with data and IT infrastructure. Data Visualization: Understands how to best graphically present research findings to multiple audiences.
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Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL.
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Yes Energy delivers real-time market data and electric power trading decision solutions. React, Redux, JavaScript, Java, Spring, SQL, REST API, Application Developer, Data Engineer, Single Page Applications, Data Visualization, UX, DX, Agile, TDD / Test-Driven Development.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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At least 2 years of experience in Cyber Operations, Data Loss Prevention (DLP), Security Operations Center, or Insider Threat. You have superior knowledge of Data Loss Prevention (DLP), data analytics, incident management, or investigative programs and the ability to identify risks and advise on solutions and mitigations.
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Capital One is seeking a Data Loss Prevention Triage Analyst to oversee alerting for DLP Incidents. Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), AWS Certification, GIAC Security Operations Certified (GSOC), GIAC Security Essentials (GSEC), Security+ Certification.
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We are seeking a hands-on Data Integration Engineer who has deep technical expertise in Apache Airflow, Azure Data Factory and Databricks and understands how build and scale a performant data platform and enjoys enabling other team members to do the same.
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Bachelors or Masters degree in a field relevant to data science, data analytics, and/or data visualization. Data Scientist (Senior) NGA - Washington. Please rate your experience with the following from 1-5: ETL processing, storing, or manipulating data on the Azure, GCP, or AWS platforms (1 being unfamiliar and 5 being an expert-level of experience.
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2+ years of experience with Big Data Technologies such as: Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala, or Pig. 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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Advanced knowledge in SQL, Python, Scala, or similar, with proven ability to implement efficient data processing and analytics solutions in Databricks. We are seeking a highly skilled and experienced Senior Data Architect specializing in Databricks technology to lead our efforts in configuring and deploying advanced data processing solutions.
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The SS&C team conducts descriptive research, medical chart review validations, and pragmatic research using the FDA Sentinel Common Data Model (SCDM), Sentinel and Distributed Research Network (DRN) tools, Observational Medical Outcomes Partnership (OMOP) CDM, Patient-Centered Outcomes Research Initiative (PCORI) CDM, and Aetna’s Enterprise Data Warehouse (EDW.
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data job Title: hadoop consultant Company: Kpmg
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