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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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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.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Five (5) years of experience must include: DevOps; SRE; Security; Cloud computing (AWS); Jenkins; IAC; Code hosting platform (Git-hub, bitbucket); Jira, Confluence; Agile Framework; Incident Management; Product Management; Project Management.
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6 years of experience must include: Apache Spark, Hive, Kafka; Scala, Python; Abinitio, Oracle; Cloud technologies: ORAAS, IBM S3 (Simple Storage Service); Intellij, Eclipse, SQL Developer, Arcadia, Tectia, Tableau, Hue, Jenkins, Sonar; OpenShift, Unravel, Cloudera Manager; and Red Hat Enterprise Linux 8, Tibco.
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Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps. Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
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Perform complex application design and programming activities in the latest technologies: Java, Node, REST, microservices, AWS/Cloud infrastructure, Kubernetes, Docker, Jenkins, Azure DevOps, GitHub Enterprise.
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Familiarity with CI/CD pipelines and experience with continuous integration tools like Jenkins and Azure DevOps. Our portfolio of customers includes Pandora, David Yurman, Tom Ford and many other globally recognizable brands.
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Spring boot, Microservices, Docker, Jenkins and REST API's experience. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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Experience building and managing DevSecOps technologies, including but not limited to: IBM Dependency Based Build, Groovy, Jenkins and Azure pipelines, UrbanCode deploy and YAML. Experience with core IBM mainframe technologies including but not limited to z/OS, CICS, storage, DB2, z/OSMF, SDSF, JES2, VTAM. ISPF, JCL, VSAM utilities, assembler, RACF, SQL, CLIST, REXX, COBOL, MQ, SMPE, Db2 utilities, mainframe monitors, JCL checker, Unix System Services.
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Trained in CI/CD principles and DevOps workflow tools such as Azure DevOps or Jenkins. Working knowledge of vendor applications such as MSCI Risk Metrics Analytics, mOLAP solutions (Oracle Hyperion Essbase, AcvtiveViam Atoti or other), cros-asset front-to-back Trading platforms (Calypso, Murex, ION, Sophis, etc.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
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Experience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc. What makes you stand out: Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworksExperience with web scraping and crowdsourcing technologiesExperience with Databricks and optimizing Spark clusters.
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In addition, we contribute to open source; contributions we have made and work with include Solr, Koan, KFServing, Cloud Native Buildpacks and PyTorch Lightning that directly impact our production services.
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Applications, encompassing dependency management and deployments to Linux environments using tools like Jenkins, Sonar, and Gitlab. Developer to assist in developing libraries to incorporate Quant pricing models into Murex FLEX API for equities and derivatives.
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The Senior Data Software Engineer, Tech Lead position in the Data Strategy team presents a chance to create and execute data products for the world's biggest and most reputable reinsurance brokerage. Experience with Databricks and optimizing Spark clusters.
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