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Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka, Hive, and Airflow. Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search using best practices and industry standards.
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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or. Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms.
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Knowledge of big data engineering stack including Hadoop, Apache Spark, Kafka and other related components. Expert knowledge of databases and engineering concepts with hands on experience on one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python, scripting in Python, SQL, Java, etc.
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Design, build, install, configure, and support Hadoop (Big Data). Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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United Health Group is modernizing and migrating from a on-premise Big Data Stack of Hadoop, Pig, Scoop, Hive over to Cloud Solution (likely Azure but could be Google Dataproc) using Spark, Kafka, Python, Pyspark, Databricks in a Snowflake Cloud Database.
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Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive). Engagements vary from being purely consultative to requiring heavy hands-on work and cover a diverse array of domain areas, such as data migrations, data archival and disaster recovery, and big data analytics solutions requiring batch or streaming data pipelines, data lakes and data warehouses.
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Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
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Hands on experience working with data science methods such as: statistical modeling, information retrieval, graph analysis, data mining, machine learning. Hands on experience using Python, R, or other languages to build statistical models or analyze data.
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Java, Scala, Python, Spark, Cassandra, Solr, Hadoop, big data, ETL, SQL, REST, API, data science, machine learning, Pig, HiveQL, Kafka, YARN, spatial data, GIS.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Demonstrable experience on Big data security with experience designing secure applications for Relational, NoSQL, In-Memory database(s), Hadoop, Kafka etc. Expert in Hadoop open source software (OSS) and has good hands-on understanding in both development and security.
$115,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3 years of experience in the past 4 years in working with years of experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. 3 years of experience in the past 4 years in working with data visualization tools like Power BI to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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