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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience within fraud-adjacent domains.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a seasoned Data Engineering Manager who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light.
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Experience building a data platform, with experience in tooling and services such as Airflow, Spark, Flink, Beam, dbt, Dataflow, BigQuery, Tableau, Looker, or equivalent. Engineering Manager, Data Analyticsat Memora Health (View all jobs)Remote - U.S. Based.
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3+ years of relevant data engineering experience. Work with engineering teams to collect required data from internal and external systems. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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Experience with Apache Spark, Databricks. BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm) Tackle novel challenges in blockchain, data science, and threat intelligence.
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Expertise in data modeling, data warehousing, data processing frameworks (Spark, Hadoop), real-time streaming technologies (Kafka), and AI/ML platforms (TensorFlow, PyTorch.
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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.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Strong programming (Python/Java) and data engineering skills.
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Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. Work closely with cross-functional teams including marketing, product, and engineering to drive data-driven decision-making and ensure alignment with business objectives.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Identify, document, and promote data engineering best practices on the team and in the larger organization.
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Experience with proteomics and/or metabolomics data generated through mass spectrometry. In general, as a computational biologist at insitro, you will be in charge of performing analysis of large scale datasets with an emphasis on multimodal measurements and data integration.
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data engineering spark jobs Company: Komodo Health in San Francisco, CA
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