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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. + Experience with big data technologies such as Hadoop, Spark, and Hive.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Excellent understanding of data mining, predictive modeling, and data visualization.
$65,500 - $108,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Lead with a data/metrics driven mindset with a maniacal focus towards optimizing and creating efficient solutions.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Find your place in technology on #TeamAmex The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Familiarity with additional big data tools and platforms such as ClickHouse, Druid, Snowflake, Impala, Presto, Kinesis, etc. 3+ years of hands-on experience in big data development using technologies such as Spark, Flink, Singlestore, Kafka, Nifi, and AWS big data services.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Experience with data visualization tools, such as Tableau, Power BI, Google's Looker Studio, D3. The School of Government and Public Policy (SGPP) at the University of Arizona invites applications for a Data Architect III. The data architect will work closely with the Arizona Voter Project Director and academic collaborators to provide technical support for the Arizona Voter Project.
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Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science, Engineering, or a related field10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. · Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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8+ years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information Management related projects, Snowflake preferred. 5+ years of direct experience in cloud data solution architectures, design and development including ETL, data warehousing, data lakes, and big data.
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big data jobs Title: data specialist Company: Ibm
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