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Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow. Lead Software Engineer / DevOps. Experience in open-source technologies like HBase, Hadoop, Kafka, Spark, Presto, Hive, Airflow.
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FinTech, CTO's, CEO's, VC, Artificial Intelligence, Machine Learning, NLP, DevOps, Blockchain, Staffing, Recruitment, Consulting, CIO's, Java, Golang, Ruby, Scala, Hadoop, Docker, Kubernetes, AWS, Cloud, CFO's, financial technology, and nodejs.
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Experience working with a variety of relational SQL and NoSQL databasesExperience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Familiarity with LLM, LLMOPs∯*∯ Knowledge of data pipeline and workflow management toolsExpertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentationRelevant working experience with Kubernetes.
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Experience with Postgres, Redis, Kafka, Airflow. Expertise in server-side software development in Golang (or other languages, e.g. Rust, C. Implement, test, deploy and monitor software for our cloud-based backend microservices.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Our global teams work together, iterate constantly, and solve complex problems to help our 15,000+ customers deliver beautiful customer experiences powered by happy teams and healthy software.
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Experience with a variety of High-Performance computational frameworks (Spark, Hadoop, Elasticsearch, Kafka, AirFlow, etc. Implement SQL queries for RedShift, and/or a Hadoop job on EMR; and define and implement computational tasks on Spark and other High-Performance platforms.
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Expertise in working with large data sets using distributed computing platforms such as Hadoop, Spark, or AWS services like EMR and S3. At least 5 years of professional experience as a Data Scientist, with a specialized focus on software development and advanced analytics.
$173,200 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Open Source Frameworks - Spring boot, Spring CoreMessaging frameworks such as Kafka, Tibco EMS or JMSOracle PL/SQL JavaScript and scripting frameworks (JQuery, AngularJS)Hands-on experience in test automation at various levels of testing (unit, component, integration and functional tests.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
$165,800 - $265,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop microservices-based applications using Java, Kotlin, HTML/CSS/React JS, Angular JS, Node JS, REST APIs, and integrations using Kafka. Previous experience as a full stack Java, Angular/React/Javascript engineer.
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As a Software Engineer for the Priceless Platform, you will be responsible for developing, testing, delivering, and monitoring scalable and secure cloud architectures, using various AWS cloud and cloud native platforms, such as EC2, ECS, CloudFront, Redis, S3, RDS. You will need to improve and expand the existing Priceless platform, as well as extend the platform using sidecar services or other microservices, using AWS, open source, and in-house developed capabilities.
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Familiarity with technologies including Kotlin, Java Web Services, Hibernate, MySQL, DynamoDB, Kafka, AWS Cloud Services, HTTP, JSON, gRPC, Protocol Buffers, OkHttp, JUnit, Guice, DataDog, Prometheus, and SignalFx (experience not mandatory.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation.
$185,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technologies we use: Java, GCP (Pub/Sub, Dataflow, BigTable, BigQuery), Kafka, DropWizard, gRPC. As a senior software engineer, you will work closely with product managers and other engineering teams to deliver projects on time and mentor engineers on the team.
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Experience working with large-scale, end-to-end data platforms and analysis solutions with exposure to platforms and tools such as [Databricks, Spark, Kafka, Cassandra, MongoDB, Redis, MySQL, DBT, Tableau, and Mode] preferred.
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hadoop kafka jobs Title: principal software engineer Company: Panalgo in San Francisco, CA
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