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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
Full-timeRemoteExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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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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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Certification in big data technologies or cloud data services. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Responsible for utilizing big data technologies (e.g., Apache Hive, Apache, Pig, Apache Spark, MapReduce, Hadoop, and MongoDB) and knowledge of data science models to analyze large amounts of data and create valuable insights for supporting the mission.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.
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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.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in big data technologies (e.g., Hadoop, Spark, Airflow). You are a self-starter Machine Learning and Python Engineer with expertise in machine learning, big data analytics, AWS cloud services, and Web Applications.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5 Years of Experience with programming languages (e.g., Python, R), data visualization tools (e.g., Tableau, Power BI, Qlik), and big data technologies (e.g., Hadoop, Spark). Supports defining, enhancing, evolving and demonstrating Steampunk’s point of view and delivery approach related to Machine Learning, Data Science, Data Visualization, Data Engineering, Data Architecture, and Data Strategy services to the Federal market.
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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional 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.
$137,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. This role involves developing and engineering data-related services and applications for cloud platforms, with a specific focus on AWS. Tasks will include working within an Agile DevSecOps team environment using latest cloud-native technologies to architect and implement containerized applications, CI/CD pipelines, and Kubernetes platforms using best practices and leading technologies.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
$215,270 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs Title: analyst Company: Remoteworker Us in Arlington, VA
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