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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery. Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. 4 years experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js), Typescript, and Java.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Cyber Security, Data Analytics, Big Data, Cloud Computing, Signal Processing, IT Modernization, Software Engineering, DevSecOps, and System Engineering. Job Description To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
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Advanced experience in writing codes in Java/Python, either on general programming ability or data processing ability with several data formats (CSV/TSV/JSON/XML). Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc.
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Optimize the performance of big data processing tasks and analytics jobs. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year of experience in big data technologies.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) Demonstrated experience developing and applying NLP techniques (e.g. LLM, transformers, embeddings, topic models) to relevant use cases (NER, Q&A, document summarization/classification, text generation, sentiment analysis, semantic search.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support relevant Navy, Joint, DoD, and/or interagency meetings and working groups that address IAMD, evolving CID / Battle Management (BM) technologies: Big Data, AI, ML, Mission Planning, Battle Management Aids, FFT and IFF Mode 5 capabilities, including program technical and programmatic exchanges such as program reviews, program planning and implementation reviews, milestone decision meetings, Integrated Product Teams, Special Advisory Boards, and off-sites.
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As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10+ years of experience in solution, design and development of applications using Java 8+/J2EE, Spring, Spring-Boot, MicroServices, RESTful Services and with experience in Big Data and with experience working in heavy data background needed.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Experience with Python, SQL, Scala, or Java. Ever-expanding te chn ology like IoT, machine learning, and artifi cia l intelligence means that there s more structured and unstructured data available today than ever before.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
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