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Experience with logging, data and event management solutions (SEIM): Splunk, Elastic/ELK, Kafka. As the lead Software Development Engineer in Test (SDET) in the Sensor group at Corelight, you will utilize your strong network security and development skills to design, develop and utilize test frameworks, test tools, and automation.
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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 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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6+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis etc, and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes etc.
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Preferred experience in our technology stack- Python, Django, Golang, React, MongoDB, Presto, Pinot, Kafka, AWS. As part of this role, you will build fundamental components that empower engineers to develop software with step function-inducing capabilities.
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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 working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
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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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Skills required Architectures,Data lakes,Hadoop Microsoft Azure ETL Data structures Employee location San Francisco, CA, USA Experience level Not specified Workplace type hybrid Job type full time contract Compensation $32 - 37 /hr Currency USD.
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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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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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Utilizing emerging technologies on the frontend such as modern JS frameworks, Sass, HTML5, CSS# and scaling the backend to tackle a robust graph data structure through the application of technologies such as NoSQL, Hadoop, MapR, Cassandra, titian and python to tie it all together; you will help millions find a path to their dream career through continued education.
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Some of the technologies you’ll be working with include Apache Spark, Apache Iceberg, Airflow, Terraform, Kafka, Azure EventHub, Clickhouse. Have 10+ years of experience in software engineering, including 5+ years of experience in engineering management.
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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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In addition to Data Infrastructure experience, you are well versed with infrastructure tooling such as Terraform, worked with Kubernetes, and have a strong SRE skillset. Care deeply about diversity, equity, and inclusion, and have a track record of building inclusive teams.
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hadoop kafka jobs Title: software engineer Company: Panalgo in San Francisco, CA
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