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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Deep expertise in GCP services: Compute Engine, App Engine, Kubernetes, Cloud Storage, BigQuery, Cloud SQL, Cloud Spanner, Cloud Functions, Cloud Run, Cloud Pub/Sub, Cloud Monitoring, and Cloud Logging.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics. Exposure to Databricks or similar data engineering platforms is a plus, especially in the context of data processing and analytics.
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Experience with DevOps practices and tools, such as Azure DevOps, Git, Jenkins, and Kubernetes. As an Azure Infrastructure Architect specializing in Disaster Recovery Landing Zones, you will be responsible for designing and implementing resilient and scalable architectures on Microsoft Azure.
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Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments - Hadoop (Apache, Cloudera) , Cloud (Azure, Amazon, GCP) and messaging protocols - MQTT, MODBUS, AMQP, RPC.
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Cloud platform certifications (AWS Certified Solutions Architect, Microsoft Azure Data Engineer, etc. Experience with data integration and ETL tools (e.g., Informatica, Talend, dbt). Integrate Snowflake with existing systems, data sources, and BI tools (e.g., Tableau, Power BI.
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Data Integration and ETL: Develop and maintain advanced Data Engineering processes and patterns using Spark, Python, Scala, Databricks, Azure Data Factory and other relevant tools to integrate data from various sources.
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3+ years of experience in data science, with a focus on data analysis and machine learning model development, or data monitoring system implementation, 2 years of experience in Energy Trading Firm or 2 years of experience in compliance role.
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Data Entity and Attribute Definition Data constraints, validation rules , consistency and defaulting rules Tools Sparx EA , SQL developer , Toad etc. Data Architect with ETRM (Energy, Trading and Risk Management.
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Keywords:Boston MA Jobs, Lead C# Software Engineer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Developer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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Design and build integrations between ETRM systems and other enterprise applications or data sources. Create and maintain scripts for data extraction, transformation, and loading (ETL) to support accurate reporting and analysis.
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The PJM Analyst will directly support and partner with the Senior VP, Hedging and Portfolio Optimization through the adroit analysis of market data, data management, and translating the data into actionable business intelligence which will assist in the development and execution of trading strategies, as well as overall operational strengths within the PJM market.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
$20 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data processing frameworks/tools/platform such as Databricks, Apache Spark, Kafka, Flink, AWS cloud services for batch processing, batch streaming and streaming. Templatize existing Databricks CLI codes to manage Databricks platform as code for AIML data pipelines (batch processing, batch streaming and streaming) and model serving endpoints.
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kubernetes data jobs Title: developer in Houston, TX
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