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Previous experience as a full stack Java, Angular/React/Javascript engineer. As the Lead Engineer within our Supply Chain/Merchandising Systems team, you will be critical in designing, developing, and maintaining the systems that power Sephora's supply chain operations.
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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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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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The ideal candidate will be a strong developer with a strong understanding of leveraging new technologies and data to inform decision-making and drive growth for the Linktree product. Experience in data-driven optimization, including familiarity with databases, data modeling, and data analysis tools and techniques (e.g., SQL, NoSQL, data warehouses, Snowflake, BigQuery, etc.
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As a Customer Support Engineer you will be working with customers running Atomus software across Windows, MacOS, Ubuntu, iOS, Android devices, and firewalls. Microsoft Intune, Windows, MacOS, Ubuntu and iOS, Android devices.
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3+ years combined as a solution engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company. As a solutions engineer, you sit at the intersection of technology and business, working collaboratively with different teams to transform data generated by our fleet of edge devices into data products that are consumable by our end customers.
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Apache Spark : Develop the de facto open source standard framework for big data. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Position Overview: As the Lead Data Engineer, you'll be responsible for leading our data engineering efforts and driving the design, development, and maintenance of our data infrastructure and pipelines.
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Familiarity with big data processing frameworks such as Apache Airflow or Apache Spark. Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code.
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You hold active certifications including NetSuite administrator and developer. In the role of the Senior NetSuite Engineer, you will report to the Enterprise Engineering Manager, NetSuite.
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Position Summary: We are seeking a skilled and motivated Connections Engineer with expertise in Snowflake or BigQuery to join our Data Engineering team. Implement and manage data connections and integrations using Snowflake or BigQuery, ensuring optimal performance and reliability.
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As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. This includes working with our product development, developer platform, finance, strategy, and legal teams to evaluate and scope potential product partnerships and negotiate contracts with external parties.
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As the Credit Portfolio, Senior Product Marketing Manager, you will improve outcomes for sellers and the credit portfolio by working across all credit products and teams including Product, Engineering, Data Science, Design, Creative, Capital Markets, Risk, Legal, Compliance, and Credit Policy.
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We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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