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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
$176,700 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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You will collaborate with architecture and software engineering teams to design and implement DBT macros to drive reusability and development efficiencies in our data engineering processes.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.
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At least 5 years of geology, mining engineering, or operations experience is preferred. Gather and utilize geologic mapping, drill data, hydrologic information, quality testing results, topography, aerial photography, survey data, sales forecasts, and other mine planning data to design 3-D mine plans and mining/stripping schedules.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Manager, Data Engineering (Spark, Scala, SQL) At least 2 years of experience in big data technologies.
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10+ (for senior) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Keywords: PLC Automation, Project Engineer, Industrial Automation, Systems Integrator, Electrical Engineering, Mechanical Engineering, Computer/Software Engineering, Rockwell Automation, Siemens, VFDs, Motion Control, Manufacturing Information Systems, Industrial Networks, Machine Vision Systems, Data Collection Technologies.
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This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field. + Lead cohort meetings and workshops for data science awardees.
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A strong technology background is required with a minimum of 7+ years of data engineering or data warehouse development experience including 3+ years in software delivery management roles preferred.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Responsibilities: · 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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Tools and methodologies used by the Avionics Engineer includes Model Based System Engineering, laboratory analysis hardware, software development environments, and Agile methodologies.
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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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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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big data engineering jobs Title: lead software development engineer in Atlanta, GA
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