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3 years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) 3 years of experience in designing and building ETL pipelines to process data at scale 3 years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services 3 years of experience with CI/CD tools such as Jenkins or AWS CodeBuild, Terraform, etc.
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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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Candidates with experience using Business Intelligence (BI) and self-service data visualization tools such as Qlik Sense, Qlik View, Tableau or Power BI are preferred. This position will work with senior leadership to perform data extraction, cleansing, analysis, visualization and storytelling.
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A 30+ year project dedicated to understanding how changes in climate, land use and invasive species impact ecology, the observatory's scientists and engineers are collecting a comprehensive range of ecological data on a continental scale across 20 eco-climatic domains representing US ecosystems.
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Building out data lake cloud infrastructure within solutions like AWS, Snowflake, Databricks, Cloudera, Google Cloud, Azure, etc. Experience with data analytics, visualization tools (e.g., Looker, Tableau, Power BI, Domo, etc.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Quant Data Engineer who wishes to take on the challenge of building a world-class data operation.
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Qualifications:Bachelor's degree in Computer Science, Engineering, or a related field3+ years of experience in an ETL development roleProficient knowledge of Databricks, Python, and SQLExperience with Azure, Snowflake, Azure Data Factory, and DBT is a plusStrong analytical and problem-solving skillsExcellent communication skillsAzure Data Bricks, Azure Data Factory, Azure Datalake, Python, SQL, PowerBI. Strong databasee background with Oracle and SQL Server are also important.
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The Data Center Critical Facilities Engineer will be responsible for Data Center Engineering within Lincoln Data Centers and colocation facilities, including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
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Role: Big Data Admin. Good knowledge with Azure Databricks, Azure Data Factory, ADLS. A strong grasp of fundamental concepts of Linux (Redhat), data engineering, network, warehouses, operational databases, messaging, and data management.
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Candidate must have experience working in data management as an analyst The Virginia Department of Transportation (VDOT) Business Integrated Solutions Division (BISD) is seeking a Master Data Analyst with demonstrated experience in data analytics to work as a key member of Business Analysis and Testing Support team.
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The Data and Presentation Specialist role provides substantial exposure to how GMO communicates with clients and prospects about our investment strategies. The Presentation and Data Specialist is responsible for the coordination and production of product and fund materials; and,providing input and requirements on new systems or technology enhancements related to these materials.
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Proven work experience as a Data Analyst, Data Engineer, Database Developer, Data Architect, Business Analyst or similar role. Experience in early childhood / early education / health and human services business domain Background with both structured and unstructured data.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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The Senior Data Architect Data Modeler will be expected to leverage their knowledge of data modeling best practices along with cross industry data expertise and data modeling tool expertise.
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data job Title: admin assistant Company: Focusgroupjobs
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