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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) You will collaborate closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to drive innovation and ensure the seamless integration of data and analytics within our ecosystem.
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7+ years of experience in a business-facing data engineering role and proven track record of related success. Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc.
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Big Data, Analytics and Insights, Business Intelligence (BI), Self Service BI, BI Governance, Banking and Financial Services, tableau, alteryx, aws, Data Visualization, Data Strategy, Data Science, Big Data Analytics, Augmented Analytics, Cloud , Data Management, Data Monetization, Digital Transformation, Starburst, Snowflake, and Gong.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
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Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.
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Lead to build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You'll also work with our business intelligence and data science teams to improve the data platform, ensuring that the entire company is able to make better data-driven decisions.
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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc. · Apple MDM (Jamf, Addigy) experience is a big plus. This includes but is not limited to advanced troubleshooting of server, desktop, and network issues as well as assisting in hardware/software upgrade rollouts, new infrastructure builds, assisting business continuity services, and some project management.
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Business Data Analyst. Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
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Fabletics/TechStyleOS is looking for a Data Analyst who will be responsible for the management, analysis and visualization of data and reporting while utilizing industry-leading data management and data visualization solutions (e.g., MicroStrategy, Tableau, Power BI) in order to support the Senior Leadership Team and other key business stakeholders.
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Job description : The Senior Data Analyst, OR1 will lead continuous improvement in the following areas of focus: OR1 Installation, Service, and Production and will support special projects.
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Design data models to best support analytics needs of the business, consistent with data strategy principles. Demonstrate a strong understanding of the analytics needs of the business, the business context of the data, and the data/tooling landscape and roadmap.
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big data jobs Title: business analyst Company: Truck Stop in Culver City, CA
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