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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
Part-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Lead data collection, management, and storage projects using tools like Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse Analytics, Fivetran, and Talend. What You’ll Do: Serve as a strategic thought partner to C-suite executives on data initiatives, understanding client personas (CFO, CIO, CHRO, CAO) and advising on harnessing data to support strategic goals.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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The Field Marketing Director will exhibit an excellent ability to speak to multiple levels within the system, representing a ‘big-picture’, business-oriented view of development. Job Responsibilities Conducts Marketing Research and Data collection: Focus groups, surveying, campus mapping, trend development/research, competitive pricing analysis.
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Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA , Python and/or other programming languages; advanced Excel knowledge.
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Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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Experiencewith data pipelines and ETL/ELT processes – Boomi Experience is a plusExperiencewith managing data workflows at scale – Apache Airflow is a plusExcellentproblem-solving and analytical skills.
$135,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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About the Role: We use Tableau and Quicksight for Data Analysis; Apache Spark for Big Data Processing; and they should have used at least one AI tool: Amazon Q; Google Cloud AI; Google Cloud Smart Analytics; Tableau AI.
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The Professional Practice Excellence RN Case Reviewer supports the Professional Practice Committee (PPC) through the management of data and information needed by the Committee for the performance of Ongoing Professional Practice Evaluation (OPPE) and Focused Professional Practice Evaluation (FPPE) in accordance with approved policies and the PPC Charter.
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Position Description: This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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big data jobs Title: scientist Company: Brainstation in Mclean, VA
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