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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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Experienced in delivering highly scalable solutions across Java, Big Data & Cloud Platforms (AWS, PCF, Kubernetes) Java 8, Spring boot, Python, PyCharm, Intellij, NodeJS, NPM, VSCode, ExpressJS, Microservices, PCF, AWS EC2, Glue, AWS Lambda, Step Functions, EKS, VPC, CloudWatch, S3, SQS, SNS Apache Kafka, Kubernetes, NodeJS, Gitlab, Jenkins, Grafana, Prometheus, Hadoop, Spark, Hive, Sqoop, Terraform.
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8 Required Hands on experience with WebSphere ND, MQ, Oracle, Java, SQL tools (PL/SQL developer, SQL plus), LDAP, Splunk, Dynatrace. Experience with Oracle, Java, SQL tools (PL/SQL developer, SQL plus), XML, LDAP, Splunk, Dynatrace, ISAM, IBM MQ and Middleware application servers is required.
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JAVA (J2EE), Spring Boot, Spring, Hibernate, JPA, Spring Data, Spring MVC, Spring Batch, IBM WebSphere, Oracle, SQL, PL/SQL, and database concepts/procedures. This candidate should have experience in hands on code development, and a strong understanding of database development with experience working with the following tools/technologies: JAVA (J2EE), Spring Boot, Spring, Hibernate, JPA, Spring Data, Spring MVC, Spring Batch, IBM WebSphere, Oracle, SQL, PL/SQL, and database concepts/procedures.
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This Opportunity WSP is currently initiating a search for a Lead Environmental Scientist, for our Austin, Texas office, to be a part of a growing organization that meets our client’s objectives and solves their challenges by providing technical assistance and guidance for multi-site/phase environmental work processes, due diligence, investigation, remediation, impact assessment, and environmental permitting.
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Strength in the majority of commonly used data technologies and languages such as Python, Java, Go or Scala, Kafka, Spark, Flink, Airflow, Splunk, Datadog, Jenkins, or similar. You’ll collaborate with cross-functional teams and play a pivotal role to design, develop, and optimize business systems, platforms, services, integrations, and transactional data across diverse domainsincluding finance, accounting, e-commerce, billing, payments, expenses, tax, and talent.
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Data Science Analyst (Lead) | 8-11 Years | Data Science - Python, Data Modeling. NET Web API (restful APIs), Java Webservices, Spring, Spring Boot, AWS-Apps, Azure-Apps, Microservices Architecture.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Proficiency in programming languages such as Python, R, or Java, with the ability to architect and develop scalable solutions.
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8 Required Experience with WebSphere ND, MQ, Oracle, Java, SQL tools (PL/SQL developer, SQL plus), LDAP, Splunk, Dynatrace. The individual will participate and provide technical leadership for replacing and upgrading application technology platforms such as migrations of applications from legacy SFTP platform to a modern one, migrate application from on-premises messaging solution to Cloud Service Provider's messaging alternative and designing & implementing data archival solution.
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Java Teamcenter Unified, Teamcenter AWC, PLM/PDM - Consulting/Customization/Implementation/Solution Architecture. Teamcenter PLM, Solutioning, Part & BOM Management (CAD BOM, EBOM, MBOM), Release & Change Management, Document Management, Active Workspace (AWC), Integrations (CAD- NX & Cadence, ERP- Oracle & SAP and Legacy systems), Migration from legacy system to Teamcenter.
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Expert knowledge of statistics and probability theory Proficiency in at least one programming language such as Python, R, or SQL Advanced experience with data visualization tools such as Tableau or PowerBI Expert understanding of machine learning algorithms and models Advanced knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation Strong communication and presentation skills.
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Experience using Databricks or a similar platform to manage data pipelines. 5+ years experience developing modern web applications using Java, C#, or Python backends and Angular, React or Vue frontends.
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Lead the design, development, and implementation of scalable software and data solutions to meet business needs. This role is based out of our Austin, Texas office, reports into the VP Technology of DTS Business Systems and offers flexibility to work remotely as schedule permits.
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Excellent data entry skills. PharMerica is the long-term care pharmacy services provider of choice for senior living communities, skilled nursing facilities, public health organizations and post-acute care organizations.
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