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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Production support to the data analysis platform including the Java application and Tidal scheduler.
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Backend development: Experience working with backend technologies including Spring Boot, Java, Groovy, Maven, Mongo DB, Dynamo DB, Lambda, SQS, Kinesis, Node JS, Docker, Kubernetes. Use programming languages including but not limited to Python, Java, or JavaScript and React, Springboot, Node.js frameworks while utilizing Cloud Native resources like EC2 Faregate, EKS, Step function, Service Mesh, Lambda function, RDS/MongoDB/Couch DB/ DynamoDB database etc.
$129,900 - $193,300 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Strong backend development skills using languages such as Python, Node.js, or Java, and frameworks such as Flask, Django, Express. Build scalable backend services and APIs using languages such as Python, Node.js, or Java, and frameworks such as Flask, Django, Express.
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84 months of experience in creating and reviewing designs, design patterns, development and implementation of JAVA, J2EE, JavaScript, Hibernate, REST web service, SOAP web service, Oracle, Oracle 12C OEM, JDeveloper, Eclipse, Visual Studio, JBoss, Subversion SVN, Linux, UML, JIRA, HP ALM, SOAPUI,POSTMAN,SQLDEVELOPER.
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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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What You'll Bring: 5+ years of experience with application development using Java Spring Boot Framework. Build Java-based front-end, back-end applications: This involves developing both the front-end (user interface) and back-end (server-side logic) components of Java applications.
$52 - $53 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid foundation in Java, with a good understanding of Spring, Spring Boot, Spring MVC, MyBatis, and other frameworks. Familiarity with mobile development technologies like Kotlin, Swift, React Native, or Flutter.
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Development Platform/Languages: ASP.net MVC, ASP.net Webform, C#, MS SQL, web services, SOAP/Restful, Azure, CI/CD tools, EpiServer (web CMS), MS Identity Server, JWPlayer, Kafka, Java, JavaScripts, Typescript, React, Bootstrap, Xamarin, Swift, Objective C, Solr, HTML, CSS.
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Experience with Tosca or Selenium/Java is a plus. Also, can design and create scalable test automation frameworks for UI, API, Backend applications using automation tools such as TOSCA, UFT or Selenium.
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2+ years of working experience with mobile app development (preferably in a SaaS or mobile environment); preferably with experience coding or scripting with APIs, SDKs, and working in major app platforms (React Native, Flutter, Java, React, etc.
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The technology stack includes – ReactJS/Redux (GUI), JavaScript, HTML, Java, Spring Boot, DB2, MongoDB, Camunda/BPMN, and micro-services architecture, PowerBI and Snowflake. - Familiarity with version control - GitDesired Skills:- Working knowledge of Core Java- Working knowledge of relational databases (preferably SQL or DB2), MongoDB- Agile Development MethodologiesMorgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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