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Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow) Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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You'll be working together with Creative, Account, PMO, Production and Tech as partners to deliver strategy rooted in powerful storytelling, formulated frameworks that place logic above all else, while taking on the uber-modern twist of incorporating measurement, data, insights and optimizations as part of your epic plan.
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Stay current on leading practices and modern technology trends in the fields of AI, ML, GenAI, NLP, data platforms, mesh architecture, high performance computing, infrastructure as code, etc.
$231,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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5+ years of professional engineering experience with modern languages and frameworks (Python, Django or FastAPI preferred) Knowledge of data store technologies (e.g. PostgreSQL, MySQL, ElasticSearch.
$181,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O Conceptual / working understanding of modern master data management, big data platforms, data streaming, analytics and reporting solutions (e.g., AWS Elastic Map Reduce (EMR.
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Be the Trusted advisor and find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft Intelligent Data and Analytics platform evangelist inclusive of new Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and AI solutions.
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More than its individual brands, Dow Jones is a modern gateway to intelligence, with innovative technology, advanced data feeds, integrated solutions, expert research, award-winning journalism and customizable apps and delivery systems to bring the information that matters most to customers, when and where they need it, every day.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Integration with a common Enterprise Risk Management (ERM) data platform to enable effective ERM data analytics and reporting. Experience and knowledge of Cloud platforms (AWS, Azure), modern architectures, development languages (Java, JavaScript, Python), DevSecOps.
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Job Category: Data Analytics/Warehousing & Business Intelligence. At least 15 years' experience in chemical and/or energy industry consulting and consulting team management including experience in plant operations, commercial activities, data analysis, and financial analysis.
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Leverage a broad set of modern technologies – including Python, SQL, Tableau, Power BI – to analyze and gain insights within large data sets. Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Apply engineering principles, industry standards, company process, and knowledge of vehicle dynamics, aerodynamics, propulsion, classical/modern control, and estimation theory to perform tasks to advanced program/project goals.
$234,000 a yearExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Providing knowledge of container management tools (e.g. Docker, OpenShift), container orchestration (e.g. Kubernetes), infrastructure-as-code (e.g. Ansible, CloudFormation), and have familiarity with modern build experience tools (e.g. Maven) and cloud integration systems (e.g. Jenkins.
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Job Description Essential Functions: Molecular design and multi-step organic synthesis Investigating the chemical, photophysical, and biological properties of target molecules Contributing ideas for new research projects or directions Supervising and assisting with the technical training of undergraduate and graduate research students Maintaining accurate and complete records of research, including laboratory notebooks and digital data records Maintaining a safe working environment.
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Our work depends on a Java Developer (Clearable) joining our team to support a GDIT program that we are the prime on and is located at Annapolis Junction, MD. As a J ava Developer (Clearable), you will develop highly efficient Microservices on a Linux operating system utilizing Java and Kotlin, for use in Docker/Kubernetes high-volume data-processing applications, while practicing modern Agile methodologies.
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