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Deep expertise in cloud data/analytics platforms such as Snowflake, AWS, Azure , and BI tools like Tableau, QlikSense, Power BI, and MicroStrategy. Provide technical leadership across cloud platforms (AWS, Snowflake, Azure) and big data architectures , recommending best-in-class solutions tailored to business needs.
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Natural Language Processing techniques and algorithms · Strong coding experience in Python, Pyspark, Keras/tensorflow · Experience with SQL & at least one NoSQL databases · Experience of working on any of cloud platform (AWS, Azure, IBM etc.
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Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks. 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry.
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Strong understanding of networking, cloud security, disaster recovery, and data management in hybrid cloud environments. Demonstrated experience with AWS and Azure, including cloud-native application development, application migration, and hybrid environments.
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Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus. Snowflake Environment Management: Administer and manage Snowflake data warehouse environments, including setup, configuration, monitoring, and optimization.
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Skilled in Microsoft Office Software including Word, Excel, Visio, MS Project, and PowerPoint - Experience with project management tools and software, such as MS Project or JIRA - PM Certification preferred - Working Knowledge of IVR, Oracle 11g, Oracle Siebel, OBIEE, J2EE, Web Technologies, Web services, XML, or Deployment Management experience is a plus - Experience with cloud based projects: AWS, Azure, etc.
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An unprecedented partnership with Microsoft, which positions 1910 as the only biotech/pharma company leveraging Azure Quantum Elements, a groundbreaking, AI-driven, high performance computing (HPC) cloud architecture for advanced AI.
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Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Data Governance: Ensure data governance policies are followed, including data security, data privacy, and compliance with regulations.
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Cloud Computing Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)Analytics and Data Visualization: Google Analytics, Mixpanel, Tableau, etc. Collaborates with Office of General Counsel (OGC) and the Belfer Office of Dana-Farber Innovation (BODFI) on creating and maintaining system use and data sharing agreements for outside collaborations.
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We're a cross-functional technical team blending backend, frontend, data engineering, machine learning, data science, and product. Experience with cloud platforms (GCP/AWS,/Azure.
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A state-of-the-art (SOTA) fully-automated, high throughput wet laboratory in the premier Boston Seaport District for both data generation for AI model training as well as validation of the safety and efficacy of drug candidates that are outputted by our frontier AI models.
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Experience assisting customers with data migrations and syncing large user bases (e.g., Azure AD). As an Onboarding Manager (US), you will play a critical role in ensuring our enterprise and mid-market customers are set up for success from day one.
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Experience in Big Data technologies/frameworks like Apache Kafka/Apache Spark/NoSQL databases. Experience with Cloud Native architecture platforms like Google Cloud, AWS, or Azure. We develop cutting-edge ad campaigns serving and monitoring platforms, big data real time and batch processing systems.
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Skilled in SQL Azure, Azure Services, and Azure Data Factory. Strong focus on detail with a commitment to data accuracy and auditing. Implement data modeling for the creation of PowerBI dashboards, addressing real-world problems.
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Strong experience with cloud-based data platforms (Databricks, Azure) Develop new data resources which can be used for ML/NLP or product innovation. Experience with healthcare data (claims, EMR) and/or Healthcare Utilization Management is highly desirable.
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