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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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Demonstrate hands-on Data Cloud product knowledge by applying platform features and functions to customer business priorities and roadmap. Salesforce Smart: Deep, technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds.
$242,830 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.
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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. 4+ years hands-on data science experience. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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We are looking for a Data Architect, Data Modeling Expertise with the below tools, and very hands-on to do Data Engineer/Business Intelligence work as well. Role: Lead Data Modeler.
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Knowledge of, and hands-on experience building demand forecasting models with statistical modeling packages at scale (Python, R), database languages (different SQL flavors), cloud platforms (Azure, AWS, GCP), ML platforms (Nixtla, TensorFlow, Pytorch, sklearn) parallelized & distributed computing (Databricks.
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2+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong hands-on working knowledge of complex ELT, ETL, Cloud Computing, and programming languages. Experience with Snowflake and building ELT/ETL for Data Vault and Dimensional Modeling structures.
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Extensive hands-on experience working with the Azure Analytics stack, including Azure Data Factory, Databricks, Azure Data Lake Storage, and related services. This hands-on role will drive the transformation of the company's data platform, defining standards, implementing a modern data stack, and operating model to enable efficient data ingestion, transformation, and modeling.
$147,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Hands-on knowledge in Azure Databricks or Azure Purview, Synapse. Should be clear on designing constructs for different data sets and come up with reusable templates for the same.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data at large scale. Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid.
$60 - $65 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Good Hands-on experience with AWS (i.e., Lambda, EMR, EKS, Redshift, Glue, Athena, Aurora, etc. Hands-on practical experience delivering system design, application development, testing, and operational stability.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Hands-on experience with Python/Pyspark and basic libraries for machine learning is required.
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hands on jobs Title: data lead in New York, Amarillo, Texas
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