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Experience with modern cloud infrastructure, including EC2, Linux-based operating systems, docker containers, workload orchestration (Kubernetes, Nomad), data stores (relational DBs, NoSQL and document DBs (Elasticsearch), object stores (S3.
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The customer and search intelligence team is a team of data scientists within Prime Video’s discovery organization. - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
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Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks) Experience in designing and building complex data processing systems at scale with performance tuning, and with with data processing frameworks (e.g. Spark, MapReduce, AWS EMR.
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Scion Nonprofit Staffing has been engaged to conduct a search for a Donor Database Manager for an amazing independent K-12 school that supports students by providing an inclusive environment with innovative teaching.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Tops 3 Skills Needed 1 Data Engineering 5+ years 2 Data Bricks 5+ years 3 Py Spark 5+ years Years of Experience: 12+ years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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We use the best machine learning techniques to simplify product discovery for animal lovers looking for their pet needs on Chewy.com. Our outstanding multi-disciplinary team of data scientists, data engineers, software/front-end engineers, and product managers work together to power personalized recommendations and search for pet parents.
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You will helm the Cybersecurity Engineering and Analysis teams, focusing on cultivating and advancing critical security capabilities, such as threat management, vulnerability management, data security management, and information security governance risk and compliance programs.
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Relevant skills include understanding of geohazards, geomorphology and surface processes, experience with slope stability; additionally experience with geotechnical design, slope stability, general civil design, construction, and other geohazard identification and data evaluation.
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Expertise supporting data interfaces with MES, OSI PI and Data Lake. Expertise in building graphical user interfaces that support data access, visualization and process leveraging tools such as OSI Pi Vision, Infobatch and process data analytics platforms such as Seeq.
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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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Excellent skills in developing & deploying automated interactive data visualization products using tools such as R-Shiny & SpotFire. Strong understanding of multi-dimensional ‘omics’ data and systematic, relational approaches to data integration and data processing workflowsExcellent programming skills, such as in R & Python, used to integrate, verify and report data according to specifications.
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Experience with controls in data centers or other critical facilities•Experience programming control logic systems in any of the following systems (or similar): Siemens, Tridium, Distech, Struxureware, or Alerton.
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Position DescriptionThis position works with individuals who are eligible for FCS, focusing on building rapport and developing trust in order to assist with: housing search and placement, housing stability planning, community resource linkages, care coordination with providers, and landlord-tenant mediation.
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Data engineer who has experience with Databricks and Unity Catalog. Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog , Privacera, and Collibra.
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