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We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Provide strategic and technical leadership in the integration of AI/ML-based computation, computational biology and drug discovery, ensuring alignment with the company's overarching vision and objectives.
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The ideal candidate will have expertise with broad range of statistical methodologies suitable for modeling NGS data, characterization of their performance and associated tradeoffs and their integration into computational workflows, including delivery of the key analyses results for the regulatory filings at Verve.
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Proficiency with enterprise integration tools, middleware technologies, iPass, application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL, and EDI.
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Recent construction site superintendent experience working on construction projects involving industrial facilities & structures (Cold Storage Distribution Centers, Food & Beverage Processing, Packaging, & Distributions Centers, Life Science and Advanced Technology Manufacturing Facilities, Industrial Tilt Wall Distribution Centers, ASRS Robotics Distribution Centers, Data Centers, Clean Room/Dry Room Construction, MEP Driven Projects.
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Familiarity with basic principles of Data Architecture and how technologies like Databricks, Snowflake, dbt and Airflow are combined to deliver solutions at production scale. A proven track record of administration, engineering, and operationalizing the Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases.
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This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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Includes integration with CFN SIEM /SOAR platforms. Expertise in designing and implementing Microsoft 365, Azure, and AWS data security controls. Deploying encryption mechanisms to protect sensitive information within emails and implementing DLP solutions to prevent unauthorized disclosure of CFN confidential data.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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The Solutions Architect is a function of our Professional Services group, your primary responsibility will be assisting customers with the design and integration scoping of Recorded Future Security Intelligence data and running projects to support this function.
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Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to precision medicine and understanding disease.
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Experience on SAP integration with trading platforms (e.g. FXall, 360T) and market data feeds (e.g. Bloomberg and Reuters) Hands-on expertise with any of the SAP Treasury core components (i.e. Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, integration with financial accounting and other applications.
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Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. Familiarity with Snowflake Snowpipes, Secure Data Sharing, dynamic data masking, etc.
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data integration jobs in Boston, MA
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