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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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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in big data processing, including Apache Spark or Databricks. Proficiency in building and optimizing big data and real time pipelines, datasets, and architectures in cloud environments, preferably Azure using services such as Event Hubs or Kafka.
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Big Data Engineer. Domain Data Manager - Supplier Data. Good understanding of data pipeline design concepts, Hands-on experience with Postgres and Snowflake, Excellent coding skills in Python, Experience with Apache Airflow and Apache Spark tools, Knowledge of AWS, Experience with CI/CD tools and processes, Good communication skills.
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The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Big Data/analytics/information analysis/database management in the cloud.
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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.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with technologies such as Databricks, Synapse, Azure Data Factory, Event Hubs, and Azure Devops. Data visualization tools, such as Qlik or Power BI, preferred. This role is responsible for providing technical leadership and execution expertise to design and deliver end-to-end data engineering solutions to support new product development and advanced analytics capabilities.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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This role requires a combination of skills across business analysis, FX domain expertise, big data technical architecture, project management, people management, stake holder management and driving consumer adoption.
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Provide technical guidance and support across various project facets, from data integration to troubleshooting.
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Getting your hands-on modern technologies and big data tools, including Hadoop, Kafka, Cassandra, MongoDB, Hive, HBase, Impala, Sqoop, Flume, Oozie, Zookeeper, Pig, Cloud Computing, Spark, Scala.
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big data jobs Title: data project manager Company: At T
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