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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Must have skills: RedHat OpenShift Container Platform(Operators, OpenShift Data Foundation, OpenShift Pipelines, Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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Experience with Azure Synapse, Big Data or Snowflake is a plus. DataBricks, Azure Data Factory, Logic Apps, Azure Functions, Python, SQL, solid understanding of Azure fundamentals and DevOps processes.
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The individual will also partner with the role's line manager, the Global Communications Leader, Data Science and Precision Medicine, to profile the Innovative Medicine sector's efforts to advance progress toward precision medicine and leverage artificial intelligence (AI), machine learning (ML), real-world evidence (RWE) and digital health to drive our innovation and deepen our patient impact.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). As a Senior Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Perform quantitative and qualitative data integrity analysis to ensure the integrity of data as required for transaction monitoring and sanctions screening. Assist in the data analysis and documentation processes, development, testing, implementation, validation, and maintenance of BSA/AML/OFAC models and scenarios used across the company.
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You will be working with our creative team to come up with new angles, big ideas, and ultimately drive creative strategy for our clients. You'll work within a pod of videographers, copywriters, strategists, and data scientists to plan each client, forecast the targets we need to hit, script & direct each creative, then launch and work to hit forecasted targets every single quarter.
$40,000 - $60,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Successful candidate will see the big picture to act in the capacity as the Data Team's Product Owner in building our data capabilities within our data management practice of simplicity, efficiency, quality, agility, reliability, resiliency and maintainability.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Perform architecture review of data analytical solutions using Qlik Sense. Designing data models in Qlik Sense to accommodate the application requirements. Extract, transform and load data from multiple data sources into the Qlik application.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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Proficiency in metadata and data quality tools like Atlan, Collibra, Informatica, Alation, Atacama, Talend, etc. Lead the customer success and enterprise data stewardship team to drive data governance adoption, working with data stewards across divisions to embed governance practices and enhance data-driven culture.
$146,000 - $210,000Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures. Able to Develop EL pipelines in and out of data warehouse using combination of Databricks, Python and SnowSQL.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Executes experiments and analyzes data from flow cytometry analytical assays with limited supervision, as part of the Cell Therapy Analytical Development (CTAD) team. Perform data analysis, summarize and report experimental results.
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big data jobs Title: manager Company: Eliassen Group in Warren, NJ
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