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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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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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A master’s degree in computer science, Data Science, Big Data, Applied Statistics, Bioinformatics, or a closely related computational field. In response to urgent needs from countries, we seek a Data Scientist Consultant to finalize the data pipeline and produce analytics focusing on primary healthcare performance measurement.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$41.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience with cloud-based data platforms (e.g., AWS, Azure, GCP), big data technologies, and data warehousing solutions. Hands-on experience with modern data technologies (e.g., Apache Kafka, Apache Spark, Snowflake, Databricks.
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Big Data Platforms : Experience with Databricks for big data processing and analytics. Certifications : AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park! National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. 2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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IAM roles and policies used internally, external cross account role access for data sharing (incoming/outgoing) Knowledge of internal and external cross-account role access for data sharing.
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Full stack, Software Development, Software Engineer, Full Stack Developer, API, Git, version control, SDLC, CI/CD, test-driven development, Gen AI, Generative AI, Artificial Intelligence, Large Language Models, Database, big data tools, AI frameworks, Google Vertex, Microsoft Open AI, AI/ML, huggingface, rag, agentgpt, llm agents, langchain, tokenization, embedding.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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big data jobs Title: data scientist Company: Remoteworker Us in ME, Wyoming
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