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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. 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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The Principal Architect provides the global vision, rationale, and recommendations to leadership teams for challenging technical issues related to data center architectural design, while working on continually improvement of data center designs.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Performs advanced statistical analyses on experimental data to identify trends and derive actionable insights. Apply your expertise in data modeling, quantitative analysis, data mining, data visualization with a goal of improving customer experience and business results with a religious focus on impactful analytics, steward product team to drive insights.
$137,500 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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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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Integrate Databricks with other systems and tools in the data ecosystem, such as data lakes, databases, and visualization tools. Lead the migration of existing legacy workspaces, schemas, and data to new Unity Catalog Environments.
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INFICON is a leading provider of innovative instrumentation, critical sensor technologies, and Smart Manufacturing/Industry 4.0 software solutions that enhance productivity and quality of tools, processes, and complete factories.
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Utilize experience with large data sets using tools like SQL, Hadoop, Spark, BigTable or DynamoDB. Utilize experience with data science frameworks such as TensorFlow, Spark/MLlib or similar experience coding in R, Python, Java, and Go. Telecommuting is an option.
$140,000 - $160,778Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Sr. Information Security Engineer you will implement, maintain, and enforce data security standards, processes and initiatives. This role will also gather, analyze, and respond to security log and report data as well as implement and maintain required security controls.
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Experience with Model Based Engineering, Data Integration, and a solid understanding of the Enterprise Standard Gated Practice. Validates analysis of technical data, influences product engineering design and makes robotics, automation or technical recommendations to support production system integration.
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Experience with data visualization using Tableau, Quicksight, or similar tools- Experience working directly with business stakeholders to translate between data and business needsPREFERRED QUALIFICATIONS- Experience with theory and practice of design of experiments and statistical analysis of results- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.
$104,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge and experience of EDC systems (Medidata RAVE preferred); demonstrated knowledge of Microsoft Office skills and well versed in industry trends and emerging technologies supporting data collection.
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Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB. If you answered yes, come to PNNL. As a member of PNNL’s Software Engineering and Architectures (SEA) team you will play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.
$134,500 - $219,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
data entry jobs Title: advanced practice provider in Seattle, Norwood, Massachusetts
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