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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Cloud native and Kubernetes knowledge is a huge plusYou have a genuine passion and understanding around how next generation data driven applications transform businesses and society. You have a good general knowledge and interest in the new technologies in the field of Big Data, IoT and Data center technology landscape.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of Artificial Intelligence, Data Science, Big Data, Business Intelligence, Data Integration, Blockchain, and Distributed Ledger Technologies. Practical experience in designing, implementing, and managing cloud-based solutions on platforms such as AWS, Google Cloud, Azure, and Oracle.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Collaborate cross-functionally with the product and technical teams, bridging the gap between competing priorities and drivers (Including our product, design, data, cloud ops, SRE, and AI/ML teams.
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Sales experience within big data, Cloud, or SaaS sales. 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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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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You'll join the team that improves user engagement and revenue generation by leveraging machine learning, cloud platforms, and big data to combat fraud, improve member experience, create user recommendations, and much more.
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As we partner with Oracle Cloud engineering teams, you will participate in advancement and early adoption of cutting edge OCI Big Data, data lake and data warehouse services and products.
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As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Have built and worked on data pipelines using big data technologies (like Spark, Hadoop, EMR, SQL, Snowflake) Have built backend cloud-based services in a production environment, using languages like (but not limited to) Ruby, Java, Scala, Python, Go, and tools like AWS.
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Hands-on experience with big data (Hadoop / Cloudera, Cloud, etc.) Experience in Big Data, Hadoop, Spark, HDFS, Hive, HBase, Kafka, Impala, Spark, and AWS, EMR. Design, develop, and maintain end-to-end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, Cloud, etc.
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Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS). Ensure data privacy and compliance standards are met in all data engineering and machine learning initiatives.
$258,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Prior experience in Big Data, Cloud, SaaS, Open Source, or Enterprise IT Solutions. With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world.
$90,855 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data cloud jobs in San Francisco, CA
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