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Active TS/SCI clearance and the ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability. Advanced experience and proficiency across various aspects of IT operations (e.g., networking, virtualization, identity, security, business continuity, disaster recovery, data management, and governance.
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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. 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.
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Data entry in CISA case management systems and maintain personnel security files for all CISA Federal employees, contractors, private sector employees, detailees and interns. Manage operations that accurately elevate, enter and update data into relevant internal and external systems and databases with strong attention to detail.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of developmental roles in Cybersecurity Data Science, including Data Scientist, Artificial Intelligence (AI) Specialist, AI Operationalization Analyst, Data Modeler, Data Security Analyst and Operations Research Analyst.
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Experience with distributed data and computing tools, including 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.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. 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.
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Collaborate with key stakeholders within the US Navy to understand and define data strategy, IT strategy, and data governance requirements and objectives. Relevant certifications (e.g., Certified Data Management Professional (CDMP), AWS Certified Solutions Architect - Data Analytics) preferred.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery; writing Python Scripts in ARCGIS to improve efficiency of the production process; Data Conversion/migration.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Experience and knowledge of AWS data analytics tools such as Athena, Glue, RedShift, RDS, Step Functions and other AWS native databases. Design and implement data ingestion pipelines using AWS services such as DMS, DataSync, Glue, Athena, Lambda, S3, RDS, and Step Functions.
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The scope of responsibility includes components of overseas and domestic refugee case processing, Information Technology (IT) infrastructure and network support, the maintenance and enhancement of PRM's refugee case processing software and data analytics capabilities, and cybersecurity compliance according to DOS policy and guidelines.
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Collects network device integrity data and analyzes for signs of tampering or compromise. and uses discovered data to enable mitigation of potential incidents. Carving and extracting information from PCAP data.
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Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. 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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data entry jobs Title: accounting assistant Company: Turner Construction in Springfield, VA
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