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Experience in architecture & security of AWS EC2, EBS, S3, EKS, Athena, Redshift, RDS, Kafka, Glue, and other data management tools Experience in in design and implementation of granular access to data without losing the speed & agility of delivering the access provisioning.
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Led by the Senior Director, Analytics & Business Intelligence, this role is part of the Data Science function, which sits alongside our Data Engineering and Business Intelligence functions.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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As a valued member in our data scientist team, you’ll be responsible for building and evaluating simulations of millions of miles of autonomous driving using the most advanced cloud technologies, in-house simulation frameworks, and data modeling tools.
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Substantial Experience in software development life cycle (SDLC) and data pipelines and job monitoring management/tools (AWS Glue, Airflow, Terraform, Kubernetes, CI/CD, PII/PHI protection and data masking, etc.
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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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Hands-on experience in setting up and implementing analysis pipelines for NGS or/and flow cytometry data. Proficiency with data analysis and handling using Python, R, JMP, SQL, and other software tools such as python and python notebooks.
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As a Marketing Data Scientist, you will play a critical role in accelerating Cash App’s growth by creating and improving how we measure the impact of all our marketing efforts. The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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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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Apache Spark : Develop the de facto open source standard framework for big data. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.
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The Investment Operations Specialist I position offers an opportunity to serve as a key member of our centralized investment operations team focused on private fund investments, separately managed accounts, client relationships, AML / KYC requirements, and transaction execution.
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Snowflake / dbt / Rudderstack / Real-time Data Streaming / Python / SQL. Bonus: Experience with blockchain or cryptocurrencies, real-time data streaming, and startup environments. Architect: Design, build and launch extremely efficient and reliable data pipelines (ETL) to move data across a number of platforms including third party analytics, frontend & backend systems.
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The role will involve building and managing multi-modal databases consisting of text, numbers and imaging data already within electronic health records at UCSF medical center and facilitate use of this database to train machine learning models towards enhancing ophthalmological disease diagnosis and management.
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Modern data warehousing fundamentals with experience in an ETL framework like dbt, Fivetran, Databricks, or Talend. Data Governance best practices: data cataloging, quality control, and usability.
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Title: data specialist Company: Torrance Memorial Ipa in Alameda, CA
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