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The Database Security Engineer Lead is responsible for implementing and maintaining security systems that provide detection, prevention, containment and deterrence mechanisms to protect the integrity of relational database systems, AWS cloud native databases, NoSQL and big data platforms, and the data they contain.
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Experience working in the database domain with at least two (2) years of experience managing all operations of Big Data stack preferably Cloudera in a Cloud Environment. Experience with big data tools such as HBASE, Spark, Python, SpliceMachine, MongoDB, NoSQL based decision systems.
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Experience in big data, Machine Learning, Tableau, Alteryx, Microsoft BI, and SQL would be helpful. We are looking to develop lean engineering and data-based decision-making through partnerships within the Enterprise.
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Knowledge of big data ecosystem such as Hadoop, Cloudera, Informatica Data Platform Azure DevOps and CI/CD experience would be helpful. This challenging role requires significant knowledge and experience across many facets of cloud technology including Cloud Infrastructure, Application Modernization & Development, IaaS, PaaS, SaaS, Containers and Modern Data Services - all while understanding the Governance, Security, Monitoring and Cost Management aspects of the Azure ecosystem.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
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Big Fish Restaurant Group now consists of Big Fish Grill Rehoboth, Big Fish Seafood Market, Big Fish Grill Ocean View, Big Fish Market/Rosenfeld's South Bethany, Big Fish Grill on the Riverfront, Summer House, Salt Air, Obie's By the Sea, Sazio, Stingray, Crab House, Striper Bites, Taco Grande, Trolley Square Oyster House, Washington Street Ale House, Mikimotos, Torbert Street Social, Rosenfeld's Wilmington, Riverfront Events, and Nick's Fish House.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Understanding of Apache Spark™ and big data preferable. Field sales experience within big data, Cloud, and 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.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark). Key Responsibilities: The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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You will also be a key driver in the implementation of Power BI Center of Excellence, governance, data strategy and well defined database practices aligned with Technology & Systems strategic priorities.
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Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality. A proven track record building and optimizing big data pipelines for analytic solutions.
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1- 3-years minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
$55 - $78 an hourExpandApply NowActive JobUpdated 11 days ago
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