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We work with Python (Flask), Go, TypeScript (React), PostgreSQL, MongoDB, Elasticsearch, AWS, Nginx, Jenkins, Git, and more. We work with Python (Flask), Go, TypeScript (React), PostgreSQL, MongoDB, Elasticsearch, AWS, Nginx, Jenkins, Git, and more.
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Experience with SoapUI, Postman, Junit, Progression & Regression Testing Experience with CJCM / Pega Case Management Experience with ELK (Elasticsearch, Kibana logs) Experience with SonarQube Experience with Grafana, Docker Containerization Experience with JIRA Dashboard for defect tracking and scrum reporting.
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Working knowledge of relational databases (MySQL, Oracle) and NoSQL databases (ElasticSearch, MongoDB, Redis, etc.) React, JavaScript, Cypress.io, Jest, Enzyme, Java, JUnit, Cucumber, Python, SQL, REST API, Postman, Single Page Applications, DevOps, CI/CD, DX, Agile, TDD / Test-Driven Development.
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Experience integrating machine learning models and data-driven algorithms into larger system architectures that involve pieces like Flask, ElasticSearch, PostgreSQL, Celery, and RabbitMQ. In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks) Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks.
$203,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker. Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker.
$160,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We work with data at a scale found at few companies using a diverse tech stack (Go, Java, Kotlin, JavaScript, React, GraphQL, Cassandra, Elasticsearch, Kafka, Kubernetes, many public cloud web services, and more.
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The ideal candidate has deep technical expertise in the Open-Source or proprietary technologies such as OpenSearch (Elasticsearch), JanusGraph, Neo4j, Ray, TorchServe, Tensorflow Serving, NVIDIA Triton, CUDA, etc.
$115,000 - $237,500Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience with AWS services like EKS S3, EMR, Glue, EC2, ECS, IAM, Lambda, CodeBuild , Athena, Redis, ElasticSearch , RDS,Aurora , Airflow. 3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.
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Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.
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Incharge of design, setup and maintenance of data infrastructure include but not limited to databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. Incharge of design, setup and maintenance of data infrastructure include but not limited to databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc.
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Strong understanding and practical experience with data tooling, BI tools, and systems such as DBT, BigQuery, and Elasticsearch. Our team comes from top tech, legal, and investing backgrounds including Waymo, Google, Amazon, Uber, Quora, Blizzard, Norton Rose, Warburg Pincus, Bain, and McKinsey.
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Experience with the ELK (Elasticsearch, Logstash, Kibana) stack, Elastic Cloud on Kubernetes (ECK), Kafka, Beats, and/or Splunk. The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others.
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Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch. Specific technology: AWS, Terraform, Bazel, Docker, Kubernetes, gRPC, SQL, Elasticsearch. Relevant domain knowledge: data annotation, autonomous driving, computer vision, robotics, mapping, numerical computing, 3D graphics.
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