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The ideal candidate will have a strong background in data engineering, with specific expertise in Power BI, SQL, Python, and Databricks. Proficiency in Databricks, with hands-on experience in developing data models and working with notebooks in SQL and Python.
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Proficiency in Python, Scala, or SQL for data manipulation in DataBricks. We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing.
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5+ years of data engineering, data pipeline development, and ETL experience using Python, SQL, and databricks. We are expanding our Data Engineering toolset and need an experienced AWS, Python and SQL Data Engineer.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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High Level of digital literacy, ability to work efficiently with Excel (VBA), SQL, and or Python§ Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Ability to perform data analytics with any of the following: Python, SQL, JavaScript, R, VBA, or Alteryx. Bachelor’s degree in related field Supply Chain Management/ Logistics, Industrial Engineering, Operations Research, GIS, Data Science, Computer Information Systems or Business Management.
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Design and Implement loosely coupled microservices that are API-driven using Python,Django,and gRPC with protocol buffers, as well as event-driven microservices using Kafka and Apache spark for backend data processing.
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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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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in North Ameria or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Proficiency in SQL, Python, and R (or equivalent) programming languages for data manipulation, analysis, and model development. Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases.
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data science python sql jobs Company: Dice in Dallas, RI, United Kingdom
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