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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years of experience Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. Understanding of Data & AI technologies in context of app development (e.g., SQL and NoSQL Databases, Big Data, Cognitive Service, Machine Learning etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Areas of focus will include but not be limited to blockchain, cryptocurrency, artificial intelligence, machine learning, cybersecurity, data privacy, virtual reality / augmented reality, big data/predictive analytics, and social platforms.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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I worked extensively on POCs, Consulting Solutions, ETL Framework/ Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$217,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Interest in predictive analytics, data fusion, big data processing, and/or edge processing and experience building enterprise scale cloud-based analytics platforms with GIS data analytics and visualization.
$257,500 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line.
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big data jobs Title: business analyst Company: Genesis10
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