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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.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years’ hands on experience with big data technologies (Spark, Snowflake, Redshift or similar technologies) Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Privacy Analyst to develop and implement solutions in the Personal Systems business unit to ensure HP's Privacy Policies are correctly implemented in the Big Data Platform and PS products across the technology stack.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data engineering tools, including Databricks, Spark, Elasticsearch, Airflow, or a data warehouse. You'll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Observability tools such as Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor), DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with backend database and search systems such as Elasticsearch, JanusGraph, DataStax Graph, PostgreSQL, Mysql/MariaDB, SQLite. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Python, data engineering and analysis, identification and tagging of data, AI/ML, database queries, synthesis of large datasets, data mining, statistical analysis, big data, automation, DataBricks, AWS, algorithm development, MS Excel (high proficiency in pivot tables.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, Azure Logic Apps, Azure Function apps, Azure Cognitive Services, and Containers.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Environmental data from multiple polar-orbiting satellites, playing a critical role to NOAA’s mission to. Troubleshoot pipeline issues across Jenkins and AWS Environments (Linux EC2, RDS, CloudFormation, ElasticSearch, etc.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets. You'll develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI.Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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