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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. Bachelors Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field.
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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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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.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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.
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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.
$75,600 - $172,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Lovelytics is seekinga skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.
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Data Storage and Processing: Knowledge in managing data lakes, warehouses (e.g., Snowflake, Databricks, Redshift), and big data frameworks for batch and streaming architectures.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Apply additional big data, visualization, master data management, cloud computing, and other solutions in combination with data science, ML, and AI to increase value to clients.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. Experience using Infrastructure as Code (IaC) best practices for provisioning and configuring cloud services including experience tools such as Terraform or AWS CDK.
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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.
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Experience with programming languages such as Python, Scala, and/or other frameworks, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading, and transforming data, and developing with big data technologies such as Spark, Hadoop, and MapReduce.
$110,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Big Data Engineer Senior Manager will manage a team of direct reports in Data Engineering or Big Data, or Data Transformation environments. + Experience with data engineering and/or big data technologies.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. - Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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big data jobs Title: data administrator Company: Disney Streaming in Washington, DC
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