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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Ie: Chevron, The GAP, Levi's, Dolby, Sony Interactive, Lending Club, etc) You will identify, develop and close sales opportunities across the Arista product portfolio including Data Center and Campus Networking platforms including our Cloud based WI-FI and POE switches.
$130,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a Senior Data Engineer who is experienced with data pipelines and data wrangling to join a nationally recognized renewable energy provider. Extensive experience with batch-processing systems, data pipeline and workflow management tools (e.g. Luigi, Airflow), containerized applications and container based orchestration environments (e.g., Docker, Kubernetes), and infrastructure as code, such as Terraform.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Director, Revenue Accounting & Data Analysis (4629U), Intercollegiate Athletics - 69022 About Berkeley At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included.
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Excellent knowledge of both front-end and back-end programming languages (JavaScript, HTML, Java, Python, Angular JS, Node JS, REST APIs, Spring Boot, REACT) Knowledge of database systems and SQL Strong knowledge of Cloud technology and able to help with migration to cloud.
$178,000 - $187,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS). Drive cloud engineering initiatives, leveraging GCP and AWS for scalable and secure applications.
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Experience with R/Shiny or other data-analysis-oriented web package. Experience with data analysis and graphical data presentation using the R programming language; or experience in a similar language such as Python and a willingness to learn R.
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And technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures. Our enterprise projects often require us to bridge and / or transform legacy systems to cloud native modern to extend business functionality and unlock data, we use digital decoupling technique to slowly and methodically hollow out the existing core and reimagine functionality, capture and distribute data changes.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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Familiarity with market data vendors (e.g., Bloomberg, Morningstar, FactSet) and portfolio analysis, risk, and optimization tools and platforms (e.g., Barra, Aladdin, Axioma, Gurobi). Excellent analytical and technical programming skills (e.g., Python, R, MATLAB); comfortable querying, transforming, and analyzing large complex market datasets; ability to think outside of box and make good decisions when faced with complex or ambiguous data.
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Experience in SAP Subscription Order Management with SAP Sales and CPQ Cloud. 5+ years of experience in SAP Sales Cloud & Service Cloud functional and technical configuration & setup including CTI integration.
$131,175 - $218,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Nice to have Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM) Prefer familiarity with meteorological, climate change, and geomorphological data.
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Data and Document Management: Support program staff by entering participant data into JVS’s database, including enrollments, closures, training completions, educational attainments, and follow-ups.
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Experience with workflow managers, container solutions, job schedulers, and cloud computing (AWS, Azure, Google cloud) is a plus. You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
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databricks data aws cloud jobs Title: data engineer Company: Emerald in San Francisco, CA
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