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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited. You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines.
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We are currently hiring a Senior Software Engineer – Data Platform to be a key member of the data engineering and operations team. The Altos Labs Scientific Computing & Data group consists of software, data, and machine learning engineers implementing scalable data engineering solutions enabling Altos Labs' scientific mission.
$244,950 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We seek someone who is passionate about delivering software solutions that involve CDN edge, secure endpoints, high throughput streaming data ingest, highly available and reliability of 99.95% in a multi cloud environment which is designed to be secure, modular and.
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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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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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Improving our lead routing to help our sales team work efficiently Responsibilities Build and Maintain software across our frontend, backend, and data orchestration systems. Some projects we’ve been working on: Experimenting with Reverse Trials for free users to increase Self-Serve ARRRevamping our Enterprise plan and its featuresModernize our Billing System and its underlying data model to improve financial operations, lower maintenance burden, and increase data trust,Data Engineering to enable analysis of feature usage (in Mixpanel.
$230,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ.
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By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. We aim to enable IT professionals to support company growth while providing the tools for a delightful employee experience through their devices & software.
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You will find yourself at home if you are comfortable with work such as scaling Kubernetes services, debugging Kafka consumer lag, diagnosing various distributed systems failures, and developing a new end-to-end data processing pipeline, all the way from raw data capture to bespoke analytics leveraging a data warehouse or a stream processing framework.
$440,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will: OpenTable is looking for a Senior Software Engineer to join the rapidly-growing Restaurant Platform Team in India and help maintain our event-based architecture, data warehouse, data pipelines, reports & insights and APIs. This is a hands-on technical role with a dash of leadership and strategy.
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Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Traditional DLP is outdated, intrusive, and complex - it wasn't designed for today's modern enterprise where users continuously share data across interconnected SaaS applications, endpoints, and now generative AI. Nightfall AI is the first AI-native DLP solution.
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KT members are affiliated to BCG Practice Areas, plugged into the strategic agenda and building and deploying leading edge IP data tools/assets to deliver insight. BCG's Knowledge Team members have the opportunity to be staffed on cases and help co-create insights with case teams and clients through expert perspectives on industry trends, delivery of proprietary data or tools in a particular function and complex research and analysis of market information.
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Engineering at BrexThe Engineering team includes Data, IT, Security, and Software, and is responsible for building innovative products and infrastructure for Brex and our customers. Responsibilities:Deliver end-to-end features in Kotlin and RetoolMaintain quality through test coverage & code reviewsSupport our growth systems in productionUtilize A/B testing for data-driven decision-making to optimize funnelsThink like our customers and prospects.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: software in San Francisco, Greenland, Kansas
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