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Expert-level proficiency in Azure Data Factory, Integration Platforms, Python programming, DBT, and data modeling. DPR is seeking an experienced Data Engineer to join our Data Engineering team.
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The Staff Integration Engineer will provide commissioning support for a variety of complex utility projects and programs, including supervisory control and data acquisition, packet-based networks, distribution automation, cyber security, microwave radios, wireless networks (including 4G/5G PLTE), fiber optics, and smart grid applications.
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Architect, engineer, and lead data integration efforts to deploy a single ICAM solution/Identity management platform (SailPoint & Radiant Logic) to manage identities for 100K+ users spanning numerous identity sources and platforms.
$67.3 - $72.11 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skill in creating dashboards and reports using SQL Server Reporting Services (SSRS) and Power BI. Licenses and CertificationsAnyone of the following certifications in SSIS, SSRS and Azure (e.g., MS Azure Developer, MS Azure Engineer, MS SQL Server Reporting, MS Azure Data Fundamentals) or a willingness to complete the certifications in the first year of employment Upon Hire.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Facilitate seamless data integration and transformation to ensure effective data flow across various applications, keeping in sync with data mart and Adobe CDP environments.
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Display Module Integration Manufacturing Engineer Responsibilities. 3+ years of hands-on experience in statistical process control and data analysis, using tools such as JMP, Tableau, Matlab, or equivalent.
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You will be responsible for providing data integration and analysis services working principally with Microsoft SQL Server, though may work across a number of technologies and in several other disciplines including data modeling and data science, working with data lake-based solutions.
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Your background will include hands-on technical and functional experience with Oracle Databases, Data Warehousing, cloud platforms (e.g. Oracle, Azure, Amazon Web Services, Informatica), data integration platforms (e.g. Informatica IDMC, Informatica Power Center, Azure Data Factory), and functional familiarity with Tableau, Microsoft Power BI, and Oracle BI to support stakeholder requirements.
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Use OrCAD Schematic tools, design embedded Mixed-Signal electronic circuits that may integrate application processors, image sensors, high- and low-speed data interfaces (DDR, USB3. Demonstrated ownership of sub-system electronics design/integration activities and verification testing in several of the following areas: Microcontroller and/or high-speed applications processor, High-speed memory subsystems, Power delivery networks, Audio subsystems, RF subsystem integration (Wifi, BT, LTE), High-speed wired interfaces (USB3.
$90,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps. Experience in Performance Tuning of Talend / SQL Agent Jobs to reduce the CPU time/load timing.
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Familiarity with many of the following required: power switching devices, power control devices, motor control devices, high power electronics, serial data busses (especially CAN bus), microprocessors, single board computers, digital I/O cards, analog I/O cards, and embedded systems.
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As a Data Engineer within Seriös Group you are a key player in the implementation of our client’s cloud data platforms, IoT analytics, data integration and migration projects.
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Implement and manage continuous integration and continuous testing practices, emphasizing ETL job automation, SQL query validation, and Snowflake target validation for ongoing data quality and reliability.
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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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