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As the Senior Software Developer, you will provide support for application development of data and business systems software to include analysis of business needs, systems flow, and determination of data storage and usage requirements.
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Responsibilities As the Senior Software Developer, you will provide support for application development of data and business systems software to include analysis of business needs, systems flow, and determination of data storage and usage requirements.
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Familiar with tools/utilities such as Bitbucket / Jira / Confluence, Big Data Developer. Responsibilities: As a Java Senior Developer, you will Maintain active relationships with Product Owner to understand business requirements, lead requirement gathering meetings and review designs with the product owner.
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Design and develop low latency, high throughput server applications that handle large volume of data stream processing by leveraging big data technologies, example Apache Spark or Flink, Kafka, AWS services like Kinesis, SNS, SQS, Opensearch.
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Developer- Bioinformatics, Java/Scala, JavaScript, Data Engineering. Experience with Scala, AWS, NoSql, Statistics, big data, Apache Spark. The candidates should have demonstrated knowledge and interest in Bioinformatics, Data Engineering and Software Development.
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Software Guidance & Assistance, Inc., (SGA), is searching for a Java/Big Data Developer for a CONTRACT assignment with one of our premier Financial Services clients in Jersey City, NJ.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. If you are a motivated software developer eager to tackle challenging problems and contribute to impactful solutions for electrical engineers, we encourage you to apply and join our innovative team at NISC.
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Patterson-UTI’s Drilling Digital Solutions team works on digitalization initiatives, collecting large amounts of data from our distributed assets and perform advanced data analytics, leveraging big data, web development and AWS cloud services.
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Hands-on experience with Spark or ScalaGood experience in end-to-end implementation of data warehouse and data martsPreferred Qualifications: Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Software Guidance & Assistance, Inc., (SGA), is searching for a ETL Developer for a CONTRACT assignment with one of our premier financial Services clients in Tampa, FL. Responsibilities: The Information Service Group is seeking a Technical Specialist (Senior Technical specialist) to build and manage Reference data ETL team (Securities, Events Reference Data.
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Job Number 666955BR Description:Java & Big Data Developer- Cloud Engineer- Data Engineer- Software Engineer WHAT WE'RE DOING. Four (4) years of additional experience may be substituted for a technical degree Strong experience with AWS, NiFi, Ansible Strong Java, application server and RedHat Linux (knowledge of RPMs and iptables a plus) experience Experience with Apache ZooKeeper Experience in REST Services and interfaces.
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JAVA microservices, kafka, bit on data side experience, Cassandra. Responsible for planning and designing new software and web applications, working as part of a team responsible for software development and delivery of data pipelines for Xfinity Data Platform (XDP.
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The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.
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