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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll be responsible for: As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Implement the data analysis pipelines using standard Big Data technologies (Spark, Airflow) Opportunity to expand your knowledge of data engineering tools and platforms using state-of-the-art tech stack.
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Explore more AI, ML, Data Science career opportunitiesFind even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience with big data technologies, such as BigQuery. We’re small on hierarchy and big on growth. Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an all in one card issuer processor and program management platform.
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The hardware footprint is big - we build ultra low power sensors, ruggedized asset trackers, powerful vehicle ADAS systems with AI/ML, telematics systems, and maybe much more. Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
$137,000 - $186,000ExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Strong experience working with big data tools: Big Data tech stack (Hadoop, Spark, Kafka etc.) Job Title:- Data Engineer (Remote) Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
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Java, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Keras, Caffe, MXNet, Spark, Hadoop, and NLP frameworks such as NLTK, Stanford NLP, SpaCy, and others.
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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
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Python, Golang, AWS, Python, Kafka, Databricks, Spark, Big Data. Infrastructure development experience with real time big data infrastructure (such as Kafka or Flink) Design the data streaming and messaging architecture, and own the data landscape, including near real-time data ingestion, processing, and data consumption.
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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Work/Project Scope:Conduct in-depth analysis of data from various sources, such as Jira, Bitbucket, Dynatrace, Big Panda, AWS, incidents, and post-mortems. Familiarity with DevOps tools and platforms, including Jira, Bitbucket, Dynatrace, Big Panda, and AWS. Experience collaborating with cross-functional teams, especially in Operational Intelligence, Service Management, and Site Reliability Engineering.
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A complete, and working understanding of information security and appropriate use enforcement technology solutions including advanced malware detection/prevention, mobile device virtualization/MDM, cloud security management, structured and unstructured database encryption, mobile application and remote API security, fine-grained application authorization and access control, security event visualization, big data user and entity behavior analytics, active adversary deception, and others.
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The Senior Cyber Risk Management Engineer will assess and document controls addressing enterprise information security solutions, such as authentication and authorization, public key infrastructure, data loss prevent on, and security event information analytics, to address the current and emerging security needs of the business.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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big data jobs in San Francisco, CA
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