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Piper Companies is in search of a talented Power BI who will be hands-on in maintaining, developing, and modernizing a robust Analytics platform, working in close collaboration with the Enterprise Data team.
$165,000 - $190,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems.
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Hands on ability with tools, programming languages and cloud infrastructure for ETL – SQL, Trino Snowflake, AWS. Strong experience with data enablement including dimensional data models, ETL workflows and SQL queries leveraging a variety of big data technologies to support the analytics value chain across descriptive and predictive analytics.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. 5+ years of SW, Data Science/ML or Data Engineering experience working on highly complex problems in a dynamic setting.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
$77,200 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Hands-on big-data and analytics project management experience.
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Prior hands-on experience with various marketing and analytics tools in the Martech stack, including: Salesforce, Marketo, Wordpress, Google Search Console and Analytics, advertising platforms, data providers, intent platforms, content marketing tools, and Excel spreadsheets.
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Work on Search algorithm, web services, search indexing, data mining, big data, Hadoop, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe Clouds such as Creative Cloud, Document Cloud and Marketing Cloud.
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Strong hands-on development experience in public cloud environment Familiarity with ML and data analytics Understanding of enterprise data integration and analytical platforms (C3 IoT, Pentaho, Snaplogic.
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2+ years of hands-on technical experience in working with big data architectures, including Hadoop, Map/Reduce, Pig, Hive or other big data frameworks. o Database Technologies: Big Data, Greenplum, GemFire, Oracle and Microsoft SQL Server.
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it.
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Embracing a hands-on approach to fully understand our current DMP system comprised of components that include: Boomi, Kafka, Hadoop/EMR, Elastic Search, Druid, MySQL, Tez, Cascading and Oozie.
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2+ years of hands-on experience in Azure Data Factory and/or Azure Databricks. Agility Partners is working with a data science and consumer insights company in search of a Cloud Data Engineer to join their team.
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