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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.
$75,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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This role encompasses working with diverse teams to design, develop, and deploy applications using core cloud data warehouse tools such as Azure Data Factory, Azure Databricks, Azure SQL DW, and other significant Big Data technologies.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with large datasets, data lakes (Lakehouse), and big data technologies, preferably cloud-based, such as Synapse, Databricks, or similar. Familiarity with big data platforms, tools, Kafka, predictive modeling, machine learning, etc.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Data Scientist, you will create tailor-made solutions from complex client anti-money laundering (AML) and anti-financial crime (AFC) data applying mathematical, problem-solving, and coding skills to manage big data to extract valuable insights for our clients.
$110,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Big Data Engineer. Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Big Data technologies, particularly GCP BigQuery and Databricks Delta Lake. Extensive experience with big data technologies, including Spark and BigQuery.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP big data technologies.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. · Databricks Certified Developer or Databricks Certified Data Engineer certification.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Collaborate closely with product owners, software engineers, machine learning experts, and data scientists.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
big data jobs Title: big data software engineer Company: Nigel Frank International
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