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Data Warehousing (e.g., AWS Redshift, Google BigQuery) Apache Hadoop or Apache Spark (for big data processing) AWS, Google Cloud, or Azure (cloud platforms for scalable computing.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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Familiarity with cloud-based computing solutions (AWS, Google Cloud) for scalable data analysis. Utilize cutting-edge algorithms and computational techniques to uncover insights from multi-omics data, offering solutions tailored to specific client needs.
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At present, clients range from ‘deep tech’ – data analytics, AI/ML, storage, cloud infrastructure, cybersecurity – to fintech, health tech and climate tech. Reporting chops using combination of Google Analytics (GA4), Excel, SEMrush, Hubspot, Google Data Studio, Pardot (Salesforce), Marketo, Tag Manager, (roughly in this order of importance.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate to identify, evaluate, and recommend novel and cutting-edge automation and assay strategies to drive our discovery programs, including machine learning and artificial intelligence.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Autodesk Forge development and data integration experience is a big plus. Experienced in building SaaS solutions with agile principles and a strong background in cloud infrastructure technologies (i.e. Microservices Architecture, RESTful APIs, AWS, Kubernetes, Kafka, RDS, NoSQL.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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The ideal candidate will have a proven track record of designing, implementing, and managing scalable cloud infrastructure solutions, leveraging Infrastructure as Code (IaC) principles and cutting-edge technologies.
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Responsibilities:Architect and implement a cloud-agnostic IaC framework using tools like Terraform, Ansible, Pulumi, or similar, ensuring seamless integration across AWS, Azure, GCP, and our private cloud within our on-premises data centers.
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Cloud services (AWS, Google Cloud, Microsoft Azure, etc); Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
$227,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with middleware offerings such as Apigee, boomi, and Informatica Cloud – and what they do. Coordinate with Apigee, boomi, and Informatica Cloud application owners. As a Senior IT Infrastructure Analyst, you will be responsible for ensuring the availability, performance, and security of our Oracle cloud-based applications.
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Requirements At least 5 years experience in external communications around social impact, mission driven and/or issue advocacy organizations Strong understanding of SEO, web traffic metrics and analytics tools Experience with Wordpress or similar content management systems Knowledge of Microsoft Office, Google Suite and Asana Proficiency in Adobe Creative Suite or similar graphic design and multimedia software is a plus.
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. At least 5 years of experience in data science, machine learning, and statistical modeling.
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