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We are seeking a hands-on Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks. Job Title: Senior Data Engineer (Azure data services/Databricks.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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Our data science track covers most of the below: Topics and content might change based on the market requirements. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle’s infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. 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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Texas Science & Natural History Museum (Texas Memorial Museum) is developing new exhibits, programs, and experiences that spark curiosity, promote belonging, and tell stories about Texas science and natural history.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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2+ years of operational experience with a focus on master data management, data governance, and related business processes. The ideal candidate will have a strong background in SAP master data management, excellent analytical skills, and the ability to work effectively across multiple functional areas and regions.
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Minimum of 1 year of hands on experience with GCP. Certification as an active Google Cloud Data Engineer. Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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The Water Resource Data Analyst supports the District’s General Manager (GM) and other staff including the Regulatory Compliance and Aquifer Science teams. · Collaborate on groundwater policy development and legislative bill analysis; represent the District with the Texas Association of Groundwater Districts and Texas Water Conservation Association as needed.
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Successful candidates will draw on their professional experience to provide current perspectives from the field and help prepare students for successful careers in forensic science. Possible courses include introduction to forensic science, crime scene investigation, principles and practices of science and law, crime scene photography, death investigations, and DNA profiling.
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1 - 2 years of hands-on and analytical (university or commercial) experience related to: metallurgy, inorganic chemistry, organometallic chemistry, or materials science. Mainly focused on Cathode active materials and its raw materials inspection, testing and release from the QC lab.
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3-5 years experience modeling and visualizing data from digital marketing data sources e.g. Google Ads, Google Analytics, Facebook Ads, Linkedin Ads, Adobe Analytics, Doubleclick etc. 3-5 years experience visualizing sales pipeline data CRM systems e.g. Marketo, Eloqua, Salesforce, Hubspot etc in supporting of B2B Marketing / Sales efforts.
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Hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects.
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It will require on-demand standup and on-demand decommissioning of environment as single “unit” comprising of multiple components of infrastructure, databases, middleware, messaging, data and applications layers – all of which will need to be automated and orchestrated as part of DEVSECOPS pipeline run.
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data hands on science jobs Title: data engineer in Austin, TX
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