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5+ years validated ability in distributed data technologies , Hadoop, Hive, Presto, Spark etc. Experience with Data Governance tools , Collibra and Collaboration tools , JIRA/ Confluence etc.
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Job Req ID: 24921 About Supermicro: 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.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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LI-AS3 Redhat Linux Support Engg The Linux support engineer role will be responsible for administration of Linux servers used by Hadoop application Duties and Responsibilities: •Able to quickly adapt to new technical concepts and tools •Installing, configuring, and troubleshooting Oracle Linux 7 and Red Hat Linux 8 servers in Big Data Hadoop clusters and Database Linux servers.
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Familiarity with healthcare data standards and regulations such as HIPAA, HL7, and Meaningful Use. •Experience with healthcare databases and data warehousing concepts (, SQL Server, Oracle, Hadoop.
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Strong proficiency in SQL, Hive QL, and Hadoop for data extraction and query optimization. Quantitative analysis, including interpreting large, structured data and formulating recommendations.
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Experience with large scale data processing using Hadoop and Spark is a plus. The Research Intern will work with a team to conduct world-class research on data driven AI/ML initiatives and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business.
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POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are also the engine that drives a fully functional world class data warehouse on top of Hadoop, this means providing tools to define data cubes and syncing high load of data from a processing Hadoop to other systems using in-house built Applications.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Brings experience with cloud platforms such as AWS or Azure, and is adept in managing large data sets with tools like Spark or Hadoop. Work closely with a cross-functional team of AI experts, data scientists, and fellow engineers to bring ideas from conception to reality.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At least have one third party tax platform implementation project experience for external tax calculation, such as: Sovos GTD, Vertex, etcExperience in SAP data conversions and customer activitiesExperience working with BI/Business Objects/Hadoop/ Power BIExperience in participating and supporting integration testing cycle and ability to defect resolution for any problem identified.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud-based analytics solutions (e.g., AWS, Azure). The Head of Data Science reports directly to the [appropriate senior executive, e.g., Chief Technology Officer, Chief Data Officer] and plays a pivotal role in driving data-driven decision-making and innovation within the organization.
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Key Skills: Snowflake, Python, Tableau, Big data processing, Python, Pyspark, ETL, Hadoop. Data Engineer with Snowflake, Python and Tableau. Key Skills: Snowflake, Python, Tableau, Big data processing, Python, Pyspark, ETL, Hadoop.
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