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Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. Use agile software development processes to iteratively make improvements to our data management systems Identify opportunities for automation.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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What you’ll be doing:Working with business stakeholders and our delivery team to understand high value business problems that can be solved through the application of data processing and analytical systems.
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Junior Software Engineer / Developer. Be involved in all aspects of software engineering—playing a critical role in design, planning, deployment, and maintenance of products and new features.
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Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems. Proficiency with Azure Data bricks, Apache Spark, and data processing frameworks.
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Develop software for the Robotic Control System and fleet manager who is responsible for optimizing work assignments, AMR fleet movements, and energy management·Apply Modern AI and machine learning methodologies to solve complex robotics problems involving the synthesis of solutions that can measurably streamline the operations of fleets and swarms of robots.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Known world-wide for enabling companies to keep pace with digital disruption and growth objectives, we design and deliver solutions, powered by intelligent software, to optimize fast, accurate and cost-effective order fulfillment and last mile delivery.
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Our capabilities use machine learning, serverless, streaming analytics capabilities and data analysis to build a platform that provides powerful insights into understanding the true sources of our request flows.
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Automation and orchestration experience with Visual Studio/VS Code, Azure Data Studio, Git, Azure DevOps, Ansible, Bicep, or Terraform is a plus. Proficiency in implementing data services including Microsoft Fabric, Azure Synapse, Databricks, Azure Data Lake, Azure Data Factory, and Self-Serve Analytics with Semantic Data Models Power BI Premium.
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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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What you’ll do: SiriusXM is looking for a creative and collaborative Senior Software Engineer with experience designing and building modern consumer web applications. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
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Pursuing a Bachelor’s degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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