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As a data architect, you will focus on the big picture of an organization’s data strategy. We're looking for an experienced Data Architect to join our Data Platform Engineering team.
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The FOX Business and Data Platform Team is looking for a seasoned Data Architect with a passion for defining and building robust and scalable Data Architecture. Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT.
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Architect enterprise grade batch and real-time data pipelines and data processing solutions in AWS or Azure. A Data Architect who shares our passion for electric vehicles and their ability to positively impact transportation, air quality and energy independence for generations to come.
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Ability to create dashboards and reports that communicate insights to stakeholders using data visualization tools such as Microsoft Power BI, Qlik, Tableau, and Crystal Reports. Job DescriptionJob DescriptionDescription:Job Type: Full-timePosition Classification Title: Data AnalystFLSA Status: ExemptReports To: Assistant Vice President, Advancement ServicesSalary: $55,000-$75,000 annuallyAbout Us:The New Mexico State University Foundation invites you to apply to join our diverse, dynamic, and welcoming team in Las Cruces, NM. The NMSU Foundation seeks to provide the pinnacle career experience for each member of our team.
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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Minitab, SAS, Matlab, VBA knowledge of optimization engines such as CPLEX or Gurobi is a plus)Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)Theoretical or practical experience in mathematical optimization techniques ( e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.
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Experience with data visualization tools (e.g., Tableau, PowerBI) and big data technologies (Hadoop, Spark). 5+ years of overall experience in the field of data science, with a proven track record in predictive modeling or a similar analytical role.
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Working knowledge of data visualization tools such as Qlik and Tableau. Support Federal government clients in a broad array of data science efforts. Lead a team of 2-3 data analysts / data scientists.
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Requires SQL for data warehouse work and Python (and/or R) for development of machine learning functions. We are seeking a Data Analysis/Scientist will collect, analyze, and interpret vast amounts of product and service data from various enterprise systems using analytical, statistical, and programming skills within KLA's Global Support Services (GSS) business unit.
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Inviting applications for the role of Senior Principal Consultant- Databricks Sr. Data Architect ! Leading team in the definition of best practices & repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration & Migration, Data Warehousing and Data Governance.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Strong knowledge of Python (Pandas DataFrames and accessing APIs), Azure (DevOps and Function Apps), PostgreSQL, QGIS and/or ESRI ArcGIS to perform data analysis and visualization. Utilize tools such as Python (Pandas DataFrames and accessing APIs), Azure (DevOps and Function Apps), PostgreSQL, QGIS and/or ESRI ArcGIS to perform data analysis and visualization.
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Qualifications and Requirements:Minimum masters with 3 to 5 years of work experience in public health policy, health data governance, health library science, epidemiology, health information technology or information management Knowledge and training in laws and regulations concerning health privacy, confidentiality, and data security standards.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Familiarity with recommending data governance best practices including MDM, security, privacy and policies. Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps.
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data job Title: architect Company: Usaa
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