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Extensive knowledge and hands-on experience Kafka Angular / React JavaScript, Typescript, CSS, HTML. Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering.
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About the role: The Data Engineer will collaborate closely with other Data Engineers, Software Development Engineers (SDEs), Analytics Engineers (AEs), Data Scientists (DSs) and Infrastructure Engineers (IEs) in the technology team.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus. Proficiency in implementing data services including Microsoft Fabric, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
$203,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineer, you will have the opportunity to work with data from various industries and build AI applications to develop actionable insights for our clients. Learn and implement best practices in building and maintaining scalable data pipelines using Python, SQL, and modern data engineering tools.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Experience with big data technologies (e.g., Hadoop, Spark) Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards.
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. Strong understanding of CAN-SPAM, GDPR, and other relevant data privacy and compliance regulations.
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Experience with at least one Visier implementation - deploying Visier as the people analytics platform for an organization or implementing a new data subject to expand Visier capability.
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Experience with data visualization tools such as Power BI and Tableau. Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions.
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Data Science, Python, TIME SERIES, NLP, LLM. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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hadoop kafka data jobs Title: platform engineer in Texas, TX
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