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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems. We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
$120,000 - $140,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience with cloud platforms for IoT and machine learning (e.g., AWS IoT, Azure IoT, Google Cloud IoT). We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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Understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data. The Investment Data Architect is a critical new responsibility that will serve as the key front office business owner for data management on behalf of the Global Atlantic Investments office.
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Cloud certification such as Azure Architect Expert + Azure Network Engineer Associate. Deep understanding of virtual network appliance offerings and how to apply them to public cloud providers (Amazon AWS, MS Azure, Google GCP.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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As a Cloud Security Architect/ Engineer , you will be a key member of the SIG Cloud Operations team. Senior Cloud Security Architect. Train other team members on cybersecurity concepts and lead periodic Cloud security control testing, such as network penetration tests, phishing simulations, and social engineering simulations, and use the test results to suggest enhancements and remediations to business processes, employee training, etc.
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We are seeking a highly skilled and experienced AWS Cloud Security Architect/ Technical Engineer to join our team on a multi-year contract basis. AWS Cloud Security Architect/Engineer - HBS.
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Job Title: Big Data Solution Architect. An in depth understanding of Cloud solutions (AWS, Azure and/or Google Cloud Platform) and experienced in integrating into traditional hosting/delivery models.
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Experience with AWS, Microsoft Azure or Google Cloud Platform configuration and administration of security features and services (including identity and access management, networking, firewalls, encryption)Background in security domain, cloud security highly preferredUnderstanding of container and container orchestration technologies such as Docker, Kubernetes, and OpenShiftAdditional InformationThe TeamThe SA is mapped to one or more Sales Specialists.
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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management; including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Experience with Docker, Kubernetes, and a major cloud provider (Google Cloud Platform and/or Amazon Web Services) is a plus. · Apply state-of-the-art front-end libraries, such as TypeScript and React, and cloud-based infrastructure in Hail to store and serve data on the back-end.
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big data architect google cloud jobs Title: network architect in Waltham, MA
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