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Sales experience within big data, Cloud, or SaaS sales. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies: Hadoop, Spark, Hive, etc. An AI & Analytics Product Manager is a hybrid role, blending product management expertise with a deep understanding of data, artificial intelligence, and machine learning.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with big data tools: Hadoop, Spark, and scripting languages: Python or Scala. Advanced understanding of data warehousing and data mining concepts such as: DataMart design, fact tables, dimension tables, data views within data marts/data warehouses, data models such as star schemas and snowflake schemas.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc. Experience working with Airflow for scheduling and orchestration of data pipelines.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. Tech stack-Big Query, any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with 'big data' platforms esp. At least 5 years experience with data modeling concepts in relationship and non-relational data stores (i.e. normalization, inheritance, relationships.
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Experience with data manipulation and visualization tools such as Tableau, Power BI, etc. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
$240,500 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience on big data technologies and tools (e.g., Hadoop, Spark). Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Big Data & Analytics Acumen: A robust grasp of Big Data and Analytics, including the ability to navigate and address the challenges unique to these fields. Familiarity with Google Cloud Technologies: A solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer, is required.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Desired Skills Experience in ‘data’ – big data, analytics, data science, BI/DW, data integration. We’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Plant care during vegetative and flowering phase: trimming, manipulating and staking; big leafing and pruning; watering; plant monitoring; inventory data input. Cloning: Cutting and transplanting; watering; labeling; and inventory data input.
$18 an hourFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices.
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Conceptual knowledge of big data, machine learning, or data science. Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The L&D Director is a skilled organizer and planner who appreciates big-picture thinking, drives data-driven learning vision, has a passion for equitable access to education in systemically under-resourced schools and believes deeply in the power of young people and their ability to positively impact and transform people and communities.
Full-timeExpandApply NowActive JobUpdated 5 days ago
big data jobs in Detroit, MI
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