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Skills: Hibernate, SQL queries, monitoring and alerting tools, SOAP XML, Maven, microservices, cloud, Java, JSON, continuous delivery, Jenkins, Spring Boot, Kafka, Docker, RESTful services, GIT, agile methodologies, Kubernetes, continuous integration, Google Cloud, payments/payment processing.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Experience with cloud technology stack (AWS, Kubernetes, Spring Boot, Kafka, SSO, Cassandra.
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Production experience with core data platforms such as SQL Server, Databricks, Azure, Spark, and Hadoop. Collaborate seamlessly across technical stacks, with a strong focus on Databricks, SQL Server, and Azure.
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Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Experience with RDBS (Postgres, SQL, Oracle.
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Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Server side to client side, web apps to desktop just apply here and we'll take the conversation from there.
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We are seeking a Staff Software Engineer with a strong technical foundation in Java, REST APIs, Microservices, Cloud (Azure, AWS, GCP), Kubernetes, Kafka, Event Hubs, Elasticsearch, Snowflake.
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Demonstrated expertise with open-source technologies like Java, Springboot, Kafka, etc., and databases like SQL Server and Oracle. Solid experiences in microservices development and containerization of Apps for Kubernetes deployment and build CI/CD pipeline with Jenkins or Azure DevOps.
$167,530 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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X, ASP.net, Web API, Windwows Azure, Azure Devops, ARM templates, Devops, Oracle, SQL Server 20xx, SQl Analytics, SQL BI stack basic understanding. Skills : Muste have 4-5 years of hands on expertise in C#, ASP.Net core, Web API, LinQ, ReactJs, MS SQL (SQL skill, Code first, Databse First, Database Project), Microservices etc.
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Detailed understanding of the following - Spring Boot/Go/Python, Spring Security, MongoDB, RabbitMQ/Kafka, Splunk, ELK, Kubernetes/OpenShift, Docker, Swagger. Strong exposure of developing digital solutions leveraging Microservices based architecture and/or cloud technologies in any of the B/OSS sub-domains (e.g. CRM, Fulfilment, Media & entertainment, Connectivity solutions, Product Management, Service Management, Inventories, Billing, and Assurance etc.
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Sr. SRE ( Site Reliability Engineer) - Data DevOps/ DataOps/ No- SQL, Kafka , Databricks, Kubernetes, Kafka , Terrafoam. NO-SQL Database - Cassandra, Mongo, PostGres- very imp for this role.
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Middleware: Building resource efficient, scalable, and resilient Microservices and APIs using Java/Python/Go, Experience with Kafka, Airflow, IBM MQ, ReST APIs. Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA, etc.
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MUST HAVE FOR CONSIDERATION: Java, microservices, Spring Boot, Azure, GCP, AWS, Kafka, MySQL, HIVE, Elastics Search. Hands on experience with Java, Spring Boot, Cloud ( Azure/GCP/AWS ), Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This includes Microservice development, Kafka with AVRO, distributed processing orchestration on cloud (PCF &/or TKGI cloud) MongoDB, OBDC database like PostgreSQL, SQL Server databases, Java, Spring, Hibernate, JPA, Apigee, Orchestra, TDD, BDD, Angular, React, Circuit Breaker, Feature Toggle / Harness, Grafana, Apigee, Liquibase, Blue-Green deployment, Test Automation knowledge ( Junit, Karate, Cucumber, TDD, BDD), performance monitoring (App Dynamics, Grafana.
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Java Spring Boot, Weblogic, Sql server(SQL, PL/SQL programming expertise) and Kafka. Databases MS SQL Server or equivalent with SQL, PL/SQL programming expertise.
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Strong understanding of data integration technologies, including Spark, Kafka, eventing/streaming, and Azure DataFactory. 8+ years of experience with coding languages such as Python, SQL, and PySpark, with a focus on performance, security, scalability, and robust data integrations.
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kafka microservices sql server jobs Company: Dice
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