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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
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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.
$220,400 - $297,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Strong communication skills to explain and evangelize Data Security to senior leaders across the company.
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As a member of an AWS service that builds on top of a popular open source technology, this is a unique opportunity to work on a team that straddles both worlds – open source and Amazon-internal software.
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The Senior Software Engineer position in the Data Strategy team at Guy Carpenter (“GC”) presents a chance to create and execute data products for the worlds biggest and most reputable reinsurance brokerage.
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Agility Partners is seeking a qualified Machine Learning Engineer to fill an open position with a Fortune 500 company based in the greater Connecticut area. As a Machine Learning Engineer, you will play a pivotal role in designing, building, and maintaining sophisticated machine learning models and pipelines.
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Experience with streaming technologies and processing (Kafka, Redpanda, Spark streaming, Apache Storm, Flink) Software Engineer - Backend. You are self-motivated and not afraid of learning new technologies and you can find your way around sophisticated systems.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$168,000 - $312,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We’re active contributors to open-source! 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.
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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster. What you'll be doing Build applications, tooling, and frameworks to improve the productivity of Discord's product, analytics, and machine learning teams, using modern technologies such as BigQuery, Airflow, Kubernetes, etc.
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Previous experience as a software engineer, applied mathematician, or in roles involving DevOps, MLOps, Databricks, and Apache Spark is highly regarded. We are actively seeking a Senior Machine Learning Engineer to contribute to innovative projects for a prestigious Global Financial Services organization.
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Bachelor's or master's degree in Computer Science, Information Systems, Engineering, Machine Learning, or related fields. Big Data Technologies : Experience with big data technologies and tools such as Apache Spark, Hadoop, Apache Cassandra, and distributed computing frameworks for handling large-scale datasets.
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Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. We are looking for someone who is passionate about building scalable, resilient and highly available systems and can help us take Order APIs through its next evolution.
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