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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Technical skills: Data Analysis, Agile Lifecycle Management platforms, Knowledge, Incident, Problem Management, Service Management, Transition, Operations, Continual Service Improvement, SAFe, DevSecOps, Remedy (cloud & on-premise), ServiceNow, MS Office, Power BI, SQL, RTC, Jira, MS Project, SharePoint, IBM RTC, Microsoft, NT, MacOS.
$115,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Use IDMS, SQL, COBOL, DB2, REXX, and FOCUS to enhance and optimize the performance of defense systems. Knowledge and experience in database systems, particularly in IDMS, SQL, and DB2. Experience with additional tools such as FOCUS for data management, analysis, and reporting would be considered advantageous.
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6+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team.
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Experience with the following: JEE (EJB, JPA, JTA, JAX‐B, JAX‐RS, JAX‐WS), SQL, application servers (Tomcat, WebLogic, JBoss), scripting. SQL, SOAP, WSDL, WADL, PERL, PowerShell, VBS, Eclipse, Postgres, Oracle, Jenkins.
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Employ advanced data analysis techniques and tools, including SQL, Excel, and advanced data visualization tools (e.g., Tableau, Power BI), to extract actionable insights, identify trends, and monitor key performance indicators (KPIs.
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We are seeking an experienced Data Engineer (DataBricks) to join our team! Define and build required capabilities to achieve the client's vision through improved data strategy and operations.
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Experience with data visualization tools such as Power BI and Tableau. A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Facilitate the incremental migration of existing Agency Human Capital Management (HCM) data from the PeopleSoft HCM system to the new Cloud HCM environment. Provides support to client Master Data Management (MDM) initiatives through data models, data controls, integration capabilities.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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As a Data Scientist/ORSA with MTSI you will inform and improve the decision-making of a large, complex organization through the systematic employment of advanced, science-based, data-driven analytical methods.
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Activities may include data quality engineering, metadata consolidation and integration, metamodel development and maintenance, repository management, data warehouse design and data mining, data security administration, and formulation of enterprise-specific data metrics.
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SQL, SOAP, WSDL, Postgres, Oracle, Mongo, PowerShell a plus. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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