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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Must have 3 years of experience in at least 1 of the following:Distributed Processing (Spark, Hadoop, or EMR);Traditional RDBMS (MS SQL Server, Oracle, MySQL, or PostgreSQL);MPP (AWS Redshift, or Teradata);NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan);Cloud Platforms (AWS, Azure, Google Platform, or Databricks);Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID.
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Thus, the ideal applicant will be a well-rounded full-stack developer whose experienced with or looking to dive into big data and cloud technologies. This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very few folks have touched/been hands-on with all of these tools in production.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data solutions (e.g. Hadoop, Spark, Kafka, Cassandra) Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Senior Software Engineer in IDT's Mission Systems division.
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NoSQL/Spark development for an enterprise big data and analytics platform that utilizes emerging technology to ingest data in real-time at extreme volumes and high velocity; Full development life cycle and production support/application maintenance in Agile/rapid development environment.
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2+ years of experience developing applications leveraging big data technologies, including Elastic Search, Cassandra, or MongoDB. Experience with SQL documentation or NoSQL data storage.
$84,600 - $193,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity of NoSQL systems and working with Big Data, such as Elasticsearch, Cassandra, AWS DynamoDB, or other cloud hosted NoSQL databases. Do you know the trade-offs between open source cloud technologies such as Elasticsearch, Cassandra, Kafka, Hadoop, Spark, Flink, Kubernetes, Swarm, etc.
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Data Governance, Lineage and Quality (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID). Must have 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining or warehousing, big data analytics, manipulation, or visualization.
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Experience working with military aviation-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, stores management, air data, fuel data, weapons data, engine data.
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Knowledge in big data and streaming data architecture (Lambda/Kappa), K8 cluster and ETL pipeline. Understand open-source databases like MySQL, PostgreSQL, etc, familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch; knowledge with NewSQL database like TIDB, Cockroach or YugabyteDB will be a plus.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very very few folks have touched/been hands-on with all of these tools in production.
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O Apache Hadoop and Apache Spark: Distributed computing frameworks for big data processing. Knowledge of big data technologies like Hadoop, Spark, and Kafka is essential for handling large-scale data processing.
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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.
$141,800 - $269,100 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Big data tools like Kafka, Spark and Hadoop. Ability to build and optimize data sets, 'big data' data pipelines and architectures. Relational NoSQL and SQL databases including Cassandra and PostgreSQL.
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Such as Python or other) Expertise working with large scale big data systems, architectures, and implementation - Splunk, Hadoop or Cassandra. Working experience with noSQL data platforms (Cassandra or MongoDB) Must have development experience Ansible.
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