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In addition, the ideal applicant should have a strong programming background (e.g. Python, R, SQL, MATLAB) and the drive and enthusiasm to learn about clinical neuroscience by assisting in state-of-the art patient-centered research.
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Experience using data visualization tools and SQL to build and operationalize security metrics (e.g. Apache Superset) Thorough understanding of cloud-native web application architectures, security threats, and security best practices, especially in the context of AWS and Kubernetes.
$198,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced Oracle / SQL skills, Ability to design Python scripts for data analysis. Technical skills: Oracle, stored procedures & advanced querying. Excellent analytic and problem-solving skills.
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Demonstrates thorough abilities and/or a proven record of success as a team leader, leading technical implementation of EPM (Enterprise Performance Management) tools:Oracle Cloud EPM; EPBCS - Enterprise Planning, Budgeting Cloud ServicesFCCS - Financial Consolidation & Close Cloud Services; EDMCS - Enterprise Data Management Cloud Services;ARCS - Account Reconciliation Cloud Services;PCMCS - Profitability and Cost Management Cloud Services; and,Narrative Reporting.
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5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue. Worked with TeraData, Oracle, MySQL, Tableau, QlikView or similar reporting and BI packages.
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Familiarity with SaaS Customer Engagement Platforms; direct experience with Sprinklr Service, Genesys Pure Cloud and/or Seismic is a bonus. Proficiency in HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js.
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IBM FileNet Administration,IBM Datacap Administration,Case Manager Configuration (FEM/ACCE),IBM HTTP/WebSphere Configuration,SQL/Oracle Server Administration. SQL/Oracle Server Administration.
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Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments. 7+ years of experience applying cheminformatics and AI/ML approaches to problem-solving in drug discovery, including data mining, method implementation, and workflow automation.
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Proficient in R, Python, and SQL, and respective packages for computational biology. Expertise in one of the following: in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis.
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Technical and programming skills including Java, JDBC, Spring Framework, Web Services, Relational Database, SQL, PL/SQL, Python, and AWS or Azure Cloud. We assist companies and non-profit organizations in delivering benefits to their employees.
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Well branded industry leading IT Services Firm is seeking a skilled and experienced DevOps AWS Cloud Engineer to join our dynamic team. Design, build, and maintain highly available and scalable infrastructure on AWS cloud platform.
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Strong background in working with cloud-based data platforms, specifically Microsoft Azure and Databricks. Technical Expertise: Proficiency in Databricks, Azure Data Fabric, and other cloud technologies.
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Familiarity with other relevant technologies and tools such as SQL databases (e.g., PostgreSQL, MySQL), containerization (e.g., Docker, Kubernetes), CI/CD pipelines, and version control systems (e.g., Git, GitHub.
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AWS, Kubernetes, Terraform, Ansible, Windows, Prometheus, SQL Server, GitOps, ArgoCD, Jenkins, Grafana, Java, Groovy, EKS, ECR, EC2, ElasticSearch, Shield, WAF, Vault, MSSQL, RabbitMQ, Kafka, Istio, Sumologic.
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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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