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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Tagged as: Big Data, Google Cloud, Hadoop, Hive, Informatica, SAP MDG/MDM, SPARK, SQOOP. Hands-on development experience using open source big data components such as Hadoop, Hive, Pig, Spark, HBase, Hawk, Oozie, Mahout, Flume, Kafka, ZooKeeper, Sqoop etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks. Responsibilities: 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.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Lead Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
InternExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will also need familiarity with various open source database platforms and technologies, such as Hadoop, Spark, Kafka, other NoSQL and cloud based PaaS/SaaS data solutions e.g. AWS S3, Azure Data Lake. Experience with APIs and ETL/ELT are required with Data Fabric/Mesh a plus.
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You will support the National Geospatial-Intelligence Agency (NGA) to process ETL on new and varied data sets, and work with Big Data at scale, using Spark/PySpark to handle petabytes of data.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Technologies : Spark, Elasticsearch, Hadoop, Neo4j. Create and update the ETL process for dozens of disparate data sources into a common schema using Python, PySpark, and Elasticsearch.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You will need strong data engineering capability particularly with Python, SQL, AWS tools including Glue, Lambda and Apache Spark. · Deep knowledge of Python, SQL, Glue, Lambda and Apache Spark.
$70 - $85 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Support the migration of Sybase and Oracle databases to RDS, SQL, and Aurora. High level proficiency with Sybase, Oracle, RDS, SQL, and Aurora database platforms. Your expertise in Sybase, Oracle, RDS, SQL, and Aurora will be essential in exceeding the expectations of the position and customer.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Basic knowledge of developing big data applications on cloud platforms (Spark, EMR, Glue ETL, Machine Learning. 3+ years of development experience with AWS cloud services utilizing various support tools (e.g. EC2, ECS, S3, Kinesis, VMs, CloudWatch, Route53, ALB, EFS, EMR.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years of experience with build and deployment tools - (Eclipse, Git/Bitbucket, Maven, Jenkins, Nexus, SQL Management Studio, Nunit, Ajax, AWS CodeCommit). Basic understanding of public cloud Networking, security, and Identity and access management concepts (AWS VPC, Security groups, Transit Gateway, VPN, Route tables, AWS IAM.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Full-stack web frameworks: Django, Python, Flask. Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph. Cloud computing environments: Openstack, AWS, Azure.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiar with ETL concepts and solutions particularly for big data engineering, including experience with Apache Spark. Responsibilities Build a master-agent architecture to foster ETL pipelines.
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Build a master-agent architecture to foster ETL pipelines. Experience working with a cloud provider (AWS/Azure/Google Cloud) or in-house data centers. Experience with Palantir. Experience with streaming/queuing frameworks such as Kafka, RabbitMQ, etc.
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spark etl jobs in Alexandria, VA
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