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Prefer heavy utilization of Open Source coding and data manipulation languages such as Python, SQL and R. MUST have experience working within the Palantir Foundry platform using Python for data management, analytics and modeling, and experience building dynamic visualization dashboards and graphics.
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Experience with Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Experience with programming languages: R, SQL. Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Experience constructing and executing queries to extract data in support of EDA and model development.
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JAVA, Node.js, React, Python, JavaScript, HTML5, CSS3, AJAX, XSL, JQuery, Angular JS, Oracle, MySQL, SQL, PL/SQL, Postgres, PostGIS, GraphQL, Mapbox, Perl, Hibernate, EJB, Spring, JMS, JSP, SVG, C, C.
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Strong desire to be world-class data and SQL troubleshooter. Ideal candidate has very strong knowledge of the Microsoft SQL Server engine with a focus on the ability to troubleshoot, optimize and support existing pipelines (SSIS) and processes, and a desire to learn (or already possess and grow) popular cloud technologies like Snowflake, BigQuery, Matillion, and more.
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Experience with SAP S/4 HANA - Data Modeling using HANA Studio, ABAP Development Tools (ADT), Code Performance Rules and Guidelines for SAP HANA, AMDP, code push down techniques, CDS views, Business Object Processing Framework (BOPF) and backend OData services, Native SQL, ABAP Core data Services, Data Base Procedures, Text Search, ALV on HANA and HANA Live models consumption.
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Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources. You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Our practice groups include Artificial Intelligence, Content, Data Governance, Data Management, Data Strategy and Search. Preferred: Azure Cognitive Search, Google Cloud Search, AWS Kendra Javascript/React/Angular Full app lifecycle support with CI/CD and testing frameworks.
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Familiarity with software products associated with cyber system engineering for data analytics, including SQL security, TANIUM Endpoint Management Software, PowerShell, McAfee, App Blocker, and Splunk ITSI.
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Proficiency with project management, data visualization tools, and analytics frameworks (JIRA, confluence, IDEA, SQL, Tableau, PowerBI) Deep understanding of emerging technologies, data analytics, cloud architectures, cybersecurity best practices, and a keen understanding of disruptive technologies including artificial intelligence, machine learning, and quantum computing, and their potential applications within the Intelligence Community.
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We are a leader in providing software engineering, big data analytics and visualization, artificial intelligence and machine learning solutions, DevSecOps, data center operations support, and cloud migration for our law enforcement and national security customers.
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Performing data analysis using data mining and visualization techniques (Alteryx, Tableau, SAS, SQL, R, Python). Assess the adequacy of testing related to common IT Controls, including but not limited to access, change management, SoD, Incident Response, Data Security / Encryption, Network Security, Vulnerabilities / Patch Management, & IT Governance.
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Knowledge of scripting & automation techniques in GIS (Python, SQL and ModelBuilder). Bachelor's degree in computer science, geography or related field which included coursework in Oracle and/or another complex database platform; plus two years of experience in working with and developing systems utilizing GIS platforms such as ESRI’s ArcGIS Desktop or Server software suites; or performing GIS modeling (e.g., relationship classes, topologies, 3-D, object, data) and spatial analysis (e.g., proximity analysis, image analysis, routing analysis.
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3-5 years hands on experience with Databricks, Data Factory, DataLake, CosmosDB, Function apps, SQL. Seeking DevOps Engineer for data pipelines working with cloud platforms and has a passion for automation and developing DevOps best practices.
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