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Design and Implement loosely coupled microservices that are API-driven using Python,Django,and gRPC with protocol buffers, as well as event-driven microservices using Kafka and Apache spark for backend data processing.
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In this role, you will support our live streaming events by focusing on cloud traffic and capacity planning (API Gateway, IPC between microservices). Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc.
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Primary Skills: Java, J2EE, Spring boot, Microservices, Angular, SQL, Kafka, Kubernetes, AWS(S3, EC2, Lambda, CFT) Hands-on experience with IDEs & tools – Eclipse, SQL Developer, Postman, SOAPUI.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Evaluate and select appropriate technologies and frameworks (e.g., Spark, Flink, Kafka, Presto) to build a modern data analytics platform that meets business needs.
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Prior experience with Spring Boot framework, PostgreSQL, AWS EC2, Docker, Kubernetes, Kafka, Terraform or similar technology. Lead design and development on an agile team of Engineers, a Scrum Master, a Product Owner, and Experience Designer.
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Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that drive measurable value on the Sportsbook platform at DraftKings.
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Minimum 8 years of hands-on experience supporting REST APIs including microservices architecture and other middleware, event-driven development tools & components (MQ, KAFKA, SOA, ESB). Proficient in supporting applications across both cloud (AWS – Preferred, Azure, GCP) and On-premises (WebSphere Application Server, IBM Integration Broker, MQ etc) technology stack.
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We work on a wide variety of technologies including AWS, Oracle, Snowflake, Angular, Java, Spring Boot, Python, REST/API, Kafka, and Tableau. These investigations will account for 7 years or more of history, depending on the role.
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He or she will have the responsibility to develop hands-on integration solutions and services using premier technology platforms like Kafka, workflow engines, microservices, cloud-native programming within monolith as well as distributed microservices architecture.
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Expertise in building ELT pipelines, Kafka, data transformation tools (eg, dbt), and modern BI platforms (eg, Looker, Tableau), GitHub, AWS, SQL, and strong proficiency in Python as well as analytics databases (e.g., Snowflake or another columnar DB) and associated pipelines.
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Experience with Hadoop, Spark, Scala, and event-streaming design & implementation using Kafka. Experience with enterprise-scale data modeling concepts including dimensional modeling, slowly changing dimensions, schema on read, irregular dimensions, and surrogate, compound and intelligent keys.
$134,400 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Minimum 8 years of hands-on experience in supporting technology stack (Java, Spring/SpringBoot, databases etc) and platforms (Kubernetes, TAS, OCP, etc.) As a seasoned professional, you will showcase a proven track record of successful operation support and deep expertise in supporting multiple applications across both on-premises and cloud technology stacks with a focus on API/EDI/EDA integration.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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We're looking for a highly-technical, hands-on engineer, who loves to work with data plane services like Cassandra, ElasticSearch, and Kafka, and is comfortable building automation around large-scale cloud-based critical systems.
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