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We provide data analytics using daily, weekly and monthly reports , as well as prepare Ad-Hoc reports using the CHCS, MDR & GENESIS environment. Performs data mining and generates consolidated reports from the DoD Composite Health Care System (CHCS) and HealtheIntent (HeI) environments.
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Edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Experience using the following Navy programs (listed in priority order):Navy Enterprise Resource Planning (N-ERP)Enterprise Data Warehouse (EDW)Computer Optimized Batch Reconciliation Application (COBRA)Program Budget Information System (PBIS)NAVSEA Enterprise Planning System (NEPS.
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Develop data quality metrics and perform QC tests (system and visual) to verify data integrity. Experience with notebook environments and big data engineering tools such as: Databricks, Sage Maker, Google Colab, Jupyter, etc.
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Oversee continuous improvement plans to optimize efficiency and quality of data governance and analytics services, and apply appropriate monitoring and controls. Measure and drive improvement in quality for master data elements.
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Drive the adoption of best practices in data governance, quality, and lifecycle management, ensuring data integrity and compliance with regulatory standards. As a leader in our industry, we are embarking on a transformative journey to leverage big data, data lakes, and lakehouse technologies to streamline our data services and support our product lines with scalable, efficient, and high-quality data solutions.
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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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Create, maintain, and manage data quality gates (Great Expectations) to ensure high data quality. Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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Howard University, a culturally diverse, comprehensive, research intensive and historically Black private university, provides an educational experience of exceptional quality at the undergraduate, graduate, and professional levels to students of high academic standing and potential, with particular emphasis upon educational opportunities for Black students.
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake.
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Develop robust data engineering pipelines utilizing Apache Nifi and Python to include use and development of REST APIs and microservices. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS.
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The Audience Technology group is looking for an experienced, talented and knowledgeable Senior Software Engineer to join the Data/Content Services team responsible for developing, supporting and maintaining our data and analytics products and services.
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The TSDN Data Center Operations Manager will develop/update Standard Operation Procedures (SOPs) and ensure compliance with OCIO Service Level Agreements; provide exceptional system usability, availability, and reliability to exceed customer expectations; reduce operating costs through consolidation, virtualization, and capacity planning; maintain accurate reporting and documentation for incident management, change management, and configuration management.
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data quality jobs Title: data manager Company: Premier Research in Washington, DC
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