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Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required. Knowledge of using, setting up and tuning resource management frameworks such as Yarn, Mesos or standalone spark.
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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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Advanced Apache Spark processing framework, and spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
$208,725 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our decision scientists work across our full analytics stack (Databricks, Spark, Airflow, GitHub, Python, Looker, etc) from defining raw data to developing reporting data models and visualizations to performing analytical deep dives that drive decision making.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Optimizing data engineering and machine learning pipelines. Deploy enterprise-ready, secure, and compliant data-oriented solutions leveraging Data Warehouse, Big Data, and Machine Learning frameworks.
$208,725 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in writing spark streaming jobs integrating with streaming frameworks such as Apache Kafka or AWS Kinesis. Knowledge of using, setting up and tuning resource management frameworks such as standalone Spark, Yarn or Mesos.
$157,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Social Emotional Learning Specialist will collaborate with administration in order to assess, develop and implement school-wide initiatives to address social-emotional wellness. Social Emotional Learning Specialists provide professional learning in evidence-based social emotional practices, facilitate analysis of climate and culture data as well as student social emotional data, and engage in coaching cycles with teachers.
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E AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. dcca.com Machine Learning – All Levels Candidate must have an active TS/SCI to be considered Key Tasks: · Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools · Built and deploy AI algorithms especially in cloud environments (i.e. AWS) · Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good experience in Apache Spark performance tuning and debugging. Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc.
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The Talent Development Specialist role is designed to help manage the company’s learning and development resources and programs, as well as employee engagement systems. This role is responsible for all elements of maintaining and administering the LMS (Learning Management System) and Employee Engagement systems (surveys) including registration/ enrollment processes, database management, installing updates, preparing system reports and providing end user support on technical aspects of the system.
$28 an hourFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Two (2) years of clinical practice in the clinical specialty of SAME DAY SURGERY or critical care preferred.
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Visit our website at: Machine Learning – All Levels Candidate must have an active TS/SCI to be considered Key Tasks: · Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools · Built and deploy AI algorithms especially in cloud environments (i.e. AWS) · Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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learning apache spark pre jobs Company: Databricks in Denver, CO
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