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You’d be joining a team of backend-focused developers who work primarily in Golang, Kafka, Cassandra, Elasticsearch, Docker/Kubernetes, and AWS-native services, making use of distributed/micro-services based architecture to build features for our highly available cloud SaaS platform, Falcon.
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E.g., Kafka, MQueue), Amazon Web Services (SQS, SNS, S3), and NiFi Expression Language. Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients.
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Experience required with a wide variety of tools and technologies to deliver these services such as Snowflake, Kafka, Tableau, Splunk, Elasticsearch, Databricks, Cloudera, MongoDB and others. Experience required with a wide variety of tools and technologies to deliver these services such as Snowflake, Kafka, Tableau, Splunk, Elasticsearch, Databricks, Cloudera, MongoDB and others.
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In the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka. As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML.
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Experience with Big Data ingest and processing technologies (e.g. ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark) As a Data Scientist, you will be a key member of a tight-knit agile development team, w orking closely with software developers and teams to establish a consolidated data analytics environment utilizing COTS and FOSS software.
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Extensive Experience with the following technologies: S3, DynamoDB, OpenSearch, RDS, Kinesis Firehose, AWS Lambda, MQTT, Kafka. The ideal candidate will bring extensive experience in designing and implementing scalable, secure, and high-performance solutions on both AWS and Google Cloud platforms.
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Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch. Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch. The Counter Adversary Operations (CAO) Team is a newly formed, first-of-its kind team that brings together CrowdStrike Falcon Intelligence and the CrowdStrike Falcon OverWatch threat hunting team to disrupt today’s adversaries and ultimately raise their cost of doing business.
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Data Engineering technologies (e.g., Spark, Hadoop, Kafka) 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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Strong Java, Spring framework, Kafka, SQL and cloud experience such as Azure. Experience leading 6-8 junior engineers from a technical delivery standpoint Experience with SQL and NoSQL databases (Cassandra /Cosmos),message stream systems (Kafka), Search (Elastic Search), etc.
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Experience programming distributed systems (e.g., Kafka, RabbitMQ, ActiveMQ, ZeroMQ) In this position, you will work within small product teams to develop and deploy mission-critical systems, reverse-engineer existing applications, analyze and implement system enhancement proof of concepts, and deliver top-quality applications that enable our customer’s mission.
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Experience building and optimizing data pipelines, including big data tools with Spark, Kafka. Data warehouse with Snowflake. Significant experience using Python, including use of modern data science and machine learning packages and frameworks (Java, c.
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Prior experience with one or more scripting tools: Shell, Perl/CGI, Python, Ruby. Strong documentation skills using common collaboration/wiki tools such as Confluence, Jira and drawing. Prior experience setting up Docker clusters using Swarm and or Kubernetes.
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