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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Progressive career experience as a software developer, data engineer, analytics engineer, or ML engineer. You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The business data analyst will work strategically to support research, data aggregation/cleansing, and analysis in support of developing visualizations and providing insights for corporate partnerships, marketing, and other internal business stakeholders, while maintaining the integrity of the Lakers brand, partners, and fanbase.
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The Maintenance Engineer is responsible for assisting with the operation maintenance service and repair of equipment as assigned. We are within walking distance of many corporate offices such as Northrop Grumman, Raytheon, AT&T, Chevron and Mattel.
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Performs basic trial runs to check accuracy of machine settings or programmed control data. The Production Machine Operator individual performs the basic set up and operates automatic machines in accordance with established shop practices.
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Ring Data Management is seeking a self-directed System Development Engineer to develop and operate our AWS cloud data processing systems. The Quick Action Service team sifts through petabytes of data per week to extract top-line business metrics around customer experience, operational excellence, and incident response.
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As a Data Integration Engineer, you will work closely with data analysts, data scientists, and other stakeholders to ensure the efficient extraction, transformation, and loading of data from various sources into our data warehouse.
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Stay current with the latest research to advance organizational knowledge in computer graphics, machine learning and related technologies. Develop innovative solutions, leveraging your deep understanding of 3D graphics and machine learning.
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The Additive Manufacturing Quality Engineer will act as the command center for all data and trends related to 3D printing development and production performance. The engineer must adapt quickly to the fast-paced evolution of additive manufacturing, engaging in continuous learning to stay at the forefront of technological advancements.
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Senior Data Center Critical Facilities Engineer V Equinix is the world’s digital infrastructure company, operating 250 data centers across the globe and providing interconnections to all the key clouds and networks.
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The Power BI Data Engineer should demonstrate a passion and curiosity for identifying and interpreting trends within complex datasets to deliver actionable insights. As a Data engineer, you will be responsible for designing, developing, and maintaining data visualizations and reports using the Power BI platform.
$105,000 - $125,000 a yearFull-timeExpandUpdated Yesterday
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