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Technical Skills: Proficient in Snowflake Data Cloud, including hands-on experience with data warehousing, SQL, and SnowSQL. Strong experience with ETL tools and processes.
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7+ years of hands-on experience with bash shell scripts, UNIX utilities, and UNIX commands. Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Qualifications + years of experience in full-stack web development with hands-on expertise in React JS or Angular JS, and Deep knowledge of Azure services, including Azure Functions, App Service, SQL Server, and NoSQL databases.
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Hands-on" ABAP experience is a required; must have deep understanding of SAP S/4HANA data structures with hands-on expertise with HANA/CDS views/ Complex SQLs; experience in development of interfaces or integration of SAP GTS and Tax Engines (like Vertex) with SAP S/4HANA.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Hands-on expertise with any of the SAP Treasury core components (i.e. Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, integration with financial accounting and other applications.
$188,375 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Strong expertise in SAP PP configuration and implementation, including MRP, production orders, and master data management. Master Data Management: Oversee the setup and maintenance of master data related to production planning, including BOMs (Bills of Materials), routings, and work centers.
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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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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback.
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Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
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data science hands on jobs Company: Ideahelix in Dallas, NV, Canada
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