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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.
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Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience working with Python, R, SQL, and Spark for Big Data Analytics. Experience with Azure Data Factory and Azure Databricks ETL.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge and understanding of the National System for GEOINT (NSG) and Intelligence Community; knowledge of private sector data science/analytics, machine learning, and data visualization communities.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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This role will be part of a team that is accountable for the operational performance readiness, reliability, and integrity of the mission-critical infrastructure systems which include (but are not limited to) the following: Electrical Distribution Gear, ATS, Generators, Fuel Pumps and Fuel Storage, UPS Units, PDU Units, UPS Backup Batteries, Chillers, Pumps, CRACs, Air Handling Units (AHU's), Rooftop Units, Fire Detection, Fire Suppression, BAS, and Leak Detection systems.
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Semantic model and report development experience using common Business Intelligence or data exploration tools (e.g. Power BI, Tableau, Qlik, Oracle BI, Cognos, MicroStrategy, Business Objects, etc.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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Architect, engineer, and lead data integration efforts to deploy a single ICAM solution/Identity management platform (SailPoint & Radiant Logic) to manage identities for 100K+ users spanning numerous identity sources and platforms.
$67.3 - $72.11 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with enterprise cloud economicsUnderstanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications)Hands-on expertise with SQL and SQL analyticsIndustry benchmarking experience in major industries such as: Financial Services, Retail, Travel and HealthMust Have Skills: DBT, Snowflake, SQL, PythonNice to Have Skills: Airflow, AWS Data analytics services, Scala, PySpark, Great Expectations.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. CGI Federal is hiring a Data Engineer SME (Data Collection Engines) to work with a skilled and motivated team of professionals on a high-visibility Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) cyber security program.
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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Bachelors or Masters degree in a field relevant to data science, data analytics, and/or data visualization. Data Scientist (Senior) NGA - Washington. Please rate your experience with the following from 1-5: ETL processing, storing, or manipulating data on the Azure, GCP, or AWS platforms (1 being unfamiliar and 5 being an expert-level of experience.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Our practice groups include Artificial Intelligence, Content, Data Governance, Data Management, Data Strategy and Search. Nice to have: Machine Learning or Data Science. 5+ years as a Data Engineer working in a fast-paced team environment.
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sybase data integrity jobs in Springfield, VA
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