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Our programs are designed for working adults to provide flexible training to prepare you to start a career in IT Support, Data Analytics, UX Design, Cybersecurity, or Project Management. Our programs are designed for working adults to provide flexible training to prepare you to start a career in IT Support, Data Analytics, UX Design, Cybersecurity, or Project Management.
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Collaborate with product management, design, and marketing teams to research, design, and code major new features and enhancements that go above and beyond just allowing districts to provide data via their Student Information System (SIS.
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Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. you must share our passion about reinventing the Data Cloud space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done.
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Experience in utilizing bioinformatics tools and software for the analysis of genomic data and CRISPR off-target prediction. 4 years experience in experimental design, execution, and data analysis related to genome editing and molecular biology techniques.
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The Director of Data Engineering will own and build the core components of Tubi’s batch and Streaming data platform. An integral pillar of the Data Platform team, you will be responsible for directing, growing, and up-leveling a hybrid remote team of engineers.
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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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Strong background in bioinformatics and biostatistics, including analysis of high- throughput sequencing data systems. Able to analyze different types of data like liquid fermentation, gene editing, test results and in-process data.
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Proficient in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc) and in AWS data pipelines (Lambda, AWS glue, Step functions, Airflow etc) You will lead the data engineering team in designing and implementing a cutting-edge data platform and pipelines along with direct collaboration with crucial teams such as Product, Research, and Engineering enhance the data platform and with Security, Legal, and Compliance to help establish and maintain data governance.
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The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.
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Develops and monitors controls to ensure appropriate availability and data integrity within all software applications. 10+ years of experience in configuration and support of Bioinformatics, LIMS and MES systems.
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Data Engineers analyze and develop on-premises and/or cloud data and ETL solutions to solve the client’s challenges. They enjoy the challenges of consulting and thrive to knock the socks off of clientsPlease note that this role is vendor agnostic in regards to what ETL tools are used, so having multi vendor experience would be ideal.
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We have partnered with a global law firm in the Bay Area, looking to bring on a Sr. Systems Engineer/ IT Desktop and Application Engineer.
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Expertise working with cloud-based data warehouse solutions (BigQuery, Snowflake) Proficient in building and optimizing data infrastructure using modern technologies and frameworks (e.g., Kafka, Airflow, API Integrations, CI/CD, Terraform, etc.
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The Trust team (Governance, Risk, Compliance, and Privacy) provides comprehensive data governance through thoughtful partnership with Security, Product, Engineering, and Legal teams, and by developing strategies and processes that keep data protected in a dynamic healthcare landscape.
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Quantitatively-inclined and data savvy; you may not be a Tableau expert, but you enjoy drawing quick, insightful conclusions from complex data sets, asking critical questions, and synthesizing raw numbers into simple, actionable recommendations.
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