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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
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Familiarity with big data technologies such as Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop, or NoSQL databases is desirable. Collaborate with cross-functional teams, including data engineers, business stakeholders, and software developers, to drive data science initiatives and ensure successful project outcomes.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise.
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As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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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.
$73,100 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a cyber engineer, you will prevent adversary network threats, identify advanced attack vectors, and thwart methods of exploitation. Cyber Engineer, Mid. 4+ years of experience with privileged and elevated access using cybersecurity tools, including Trellix Endpoint Security Suite (ESS), or McAfee HBSS, ePO, and FireEye tools, such as MVX, NX, HX, PX, IA, AX, IAS PCAP, or malware or forensics analysis solutions, and Palo Alto Firewalls, ForeScout, ACAS, or Splunk/Cribl.
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As part of Capital Ones move towards a well-managed network security strategy, we are replacing the legacy f5 BIG-IP VPN to a new and flexible Palo Altos remote access cloud based solution - GlobalProtect/Prisma Access for the hybrid workforce.
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Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency. Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
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Broad understanding of software development lifecycle, development management, release management, data migrations, cut-over planning and early live support. About the job Relocate to Malta D365 Finance & Operations Technical Architect (Consulting/Big 4.
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We cover every aspect of data analytics and data science, from data architecture to data engineering, visualization, predictive analytics, machine learning, and artificial intelligence.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
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big data jobs Title: big data software engineer Company: Cognizant in Washington, DC
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