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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Strong SQL, PL/SQL experience and skilled in creating and optimizing queries and data structures.
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Our modern tech stack includes Kafka, Elasticsearch, AWS, MongoDB, Kubernetes, ArgoCD, Java 11, Spring, Python, React, and others. Our modern tech stack includes Kafka, Elasticsearch, AWS, MongoDB, Kubernetes, ArgoCD, Java 11, Spring, Python, React, and others.
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Candidates must have more than 5 plus years of development experience in Actimize Risk Case Manager, Actimize Intelligence Server, Actimize Case Manager Designer, and Oracle PL/SQL. More than 3 years of SQL experience and ability to develop Actimize repository queries.
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. You’ll have the opportunity to design and implement solutions to transform our core platform and services to their destination architectures as part of a top technology initiative in Capital One. You will be able to leverage a variety of modern technologies including Java, Kafka, AWS services, PostgreSQL, Snowflake, ML, etc to build and deliver those solutions.
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Proficient in at least one programming language such as Python, Java/Spring Boot, and. Having hands-on experience on UI technologies like Angular, JavaScript, React JS would be an added advantage.
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Ideally 10+ years of working experience in Backend microservices development using Java, Spring Boot, Azure, Kafka. knowledge of SQL and PL/SQL (Oracle) and UNIX. preference would be for someone having knowledge of Python and Power BI along with Java. Knowledge of developing custom visuals, Data services and API integration using Python and utilizing DAX (Data Analysis Expressions), M & MDX to create custom calculations will be preferred.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Should have good experience in using automation tools like Selenium, BDD Cucumber, Java spring boot, BDD API Karate, Playwright, Cypress Frameworks development, mock API, SOAP UI Pro, Tricentis, JMeter, CA blaze meter, Java-Mockito, and Rational Service Virtualization tools.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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We are seeking an entrepreneurial, hands-on Social Commerce Director to drive our social commerce strategy and grow Gross Merchandise Value through TikTok Shop, Instagram Shop and other social commerce platforms.
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Our angel investors include world-class healthcare founders from Oscar, Rightway Health, Headway, Spring Health, and Alto Pharmacy, as well as soccer star Alex Morgan and the founders from Olipop and Notion.
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Minimum THREE (3) years of hands-on experience implementing an enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering enterprise metadata and/or content management solutions.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Hands experience implementing and deploying machine learning solutions using various machine larning algorithms like Naive Bayes, Logistic Regression, K nearest neighbors, Support Vector Machines, Hidden Markov Models, Topic modeling.
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hands java spring pl sql jobs Company: Synchrony in Long Island City, NY
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