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Experience with Data Integration, Data Engineering, and Data Lake implementations using ETL, Big Data, and Cloud Technology. Collaborate as an essential member of the Data Analytics team, working closely with cyber architects and cloud security architect SMEs to gather key stakeholder requirements and translate them into system use-case methodologies and technical specifications.
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Three years of experience in a data engineering, database administrator, or business intelligence role. Experience with ETL and data modeling technologies (e.g., SSIS, Data Factory, SSAS - Tabular.
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Work with data engineering teams to design and implement scalable database schemas and optimize data storage and retrieval processes. Proven experience as a Database Administrator, with a strong preference for experience in managing data lakes and using Apache Iceberg.
$105,300 - $157,900 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Kubernetes: knowledgeable running Spark on Kubernetes, cluster experience using kubectl to inspect issues experience with Docker Experience with cloud data services (AWS, Azure, GCP) and familiarity with data lake ecosystems.
$124,900 - $208,200 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of Relational Database Management Systems, Data Engineering and Extract, Transform, and Load (ETL) processes. CyberData Technologies Is Looking To Hire a Database Administrator To Add To Our Database Administrator Team To Work With a Team Of IT Professionals For An IT Support Contract For The National Institute Of Child Health And Human Development (NICHD) Clinical Trials Database (CTDB), Working In An Environment With Mature Change Management Processes Including Peer Reviews, Atlassian Products, And Version Control Through GIT. Successful Candidates Must.
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Perform regular database maintenance tasks such as backups, indexing, and performance tuning to ensure data integrity and efficiency. Our team is responsible for building and maintaining a Analytics Storage platform that serves as a backbone for processing various business critical batch ETL workloads and analytics activities at Affirm through a wide range of scheduled and on-demand compute solutions built on the cloud.
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Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience in continuous integration tools (Git, Azure DevOps, Jenkins, TFS, Maven, Nexus)Data Management, Data Integration or Data Engineering experience. Familiarity with Agile and/or Scrum methods of deliveryKnowledge of enterprise ETL tools like Azure Data Factory, SSIS, Informatica or similar.
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Must possess vital skills to triage performance issues found in ETL and large-scale reporting workloads in a data warehouse, recommend solutions to these problems, and partner with engineering teams to deliver performance improving changes.
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Role & Responsibilities:Be part of Data Operations and engage in day-to-day processes like being oncall, do job monitoring, respond to tickets, troubleshoot, do root cause analysis, take quick corrective actions that include fixes, escalation to other teams or individuals etcProactively monitor server, database, scheduler, Cloud data systems and ETL processes to ensure availability.
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Develop and implement data security measures, including access controls and encryption, to protect sensitive information. As a Software Engineer in the Analytics Storage team, you will be responsible for managing, optimizing, and ensuring the reliability and performance of our data lake.
$124,900 - $208,200 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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The Global Business Intelligence (GBI) team within Apple's IS&T organization has a very large Enterprise Data Warehouse (EDW) to support analytical and reporting needs of hundreds of global Apple users.
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Experience : Requires Three (3) years system administrator, data engineering, or developer experience working with data to address business needs, including development of data repositories, warehouses, data marts, analytics cubes, or related systems.
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Implement, manage, and monitor databases in our Apache Iceberg-powered data lake environment to ensure high levels of data availability and performance. Stay current with emerging technologies and advancements in Lakehouse architectures, specifically Apache Iceberg, to recommend and implement improvements to our data infrastructure.
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The ideal candidate will have extensive experience in database administration, a strong understanding of Apache Iceberg, and the ability to work closely with data engineers and analysts to support data-driven decision-making.
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