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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data management technologies such as SQL, ETL Tools, data lakes, cloud platforms (e.g., AWS, Azure) and data visualization tools; Familiarity with machine learning and AI technologies is a plus.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This individual will work within a functionally organized Enterprise Data & Analytics group with support from IT, Data Engineering and Governance, Business Intelligence, and Product Management.
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Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Must hands on and provide technical leadership and mentorship to data engineering team members. Architect and implement Azure data solutions leveraging services like Data Factory, Databricks, Azure SQL Database, Data Lake Storage, and Synapse Analytics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Drives the adoption of cloud-native technologies and data engineering best practices. Manages and mentors data engineering teams, ensuring high-quality deliverables and adherence to organizational standards.
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At least 5+ years of hands-on experience with building language models, machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services. Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding of Azure cloud technology including Cognitive Services viz. Deep and hands-on experience in applying machine learning algorithms. Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps.
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Leads consultant teams that configure/deploy environmental health, safety and sustainability solutions; specific activities include drafting and publishing system design documents, configuring technical specifications and components within the solution, analyzing/migrating data, and developing custom reports/dashboards and automated interfaces.
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Contribute to and provide insights on the Commercial Terms and Conditions for Civil, Engineering, and Professional Services Contracts within data center construction projects. Hands on Global Supply Chain Junior Contracts Manager with no direct report, and with previous experience leading pre-award and post-award Civil, Engineering, Services and other Construction related packages for a large scale job.
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Performs hands-on IDR data query work and/or guides others in needed data queries, data engineering, and data analysis. Softrams is looking for aSubject Matter Expert with mastery level knowledge of the Integrated Data Repository (IDR) at the Center for Medicare & Medicaid Services (CMS.
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Technologically proficient, with a basic understanding of enterprise SCADA and real-time data systems; hands-on experience is a plus. Ideally from a SCADA/automation/Oil and gas engineering background.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure) 5+years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions.
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