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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position. Location: Springfield, Virginia Description: C-Star Solutions is searching for a data scientist to support research and development efforts at National Geospatial-Intelligence Agency (NGA.
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Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks. The ideal candidate will have extensive experience in designing and implementing data solutions, with proficiency in SQL Server, Microsoft Azure, Snowflake, Databricks, and other relevant technologies.
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Expertise in Python, R, SQL, statistics, data mining. + 5+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Required and Desired Skills/Certifications: Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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12+ years of experience working in the field of Data Engineering and Data Science. Perform statistical analysis and data mining to create predictive systems. Significant experience as a Data Scientist or advanced analytical role.
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Electronically Stored Information Process Audit:Requires knowledge of:Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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Excellent skills in developing & deploying automated interactive data visualization products using tools such as R-Shiny & SpotFire. Strong understanding of multi-dimensional ‘omics’ data and systematic, relational approaches to data integration and data processing workflowsExcellent programming skills, such as in R & Python, used to integrate, verify and report data according to specifications.
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The candidate's primary responsibility as a Data Wrangler will be to efficiently gather the necessary materials based on the show's requirements for various departments such as Integration, Modeling, Lookdev, Texturing, Lighting, Tracking, Previs, Layout, and Rigging.
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Role: Python Data Engineer(Databricks/Python/Pyspark, Azure) Minimum 10 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
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Their knowledge of hardware and software tools for processing scan data, as well as photogrammetry techniques for reconstructing real locations into virtual sets, will be invaluable. They will be orking closely with the VFX Supervisor and Director of Photography to understand VFX requirements and capture necessary data.
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Implement data governance, security, and compliance best practices within the Databricks environment. Should be able to design, build, and maintain scalable data pipelines using Databricks platform to support data ingestion, transformation, and processing.
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This work will be performed in close collaboration with pediatric neurologist and epileptologist clinician researchers and faculty at NCH.The candidate should be able to leverage both structured and unstructured data sets to create analytical solutions using tools and/or methods in at least one of the following areas: statistical and predictive modeling, machine learning, natural language processing, and geospatial analysis.
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Proficient in data visualization tools such as Tableau, Microsoft Power BI, COGNOS, QlikView, and Spotfire. Ability to use enterprise data warehouse, big data, business intelligence (BI) & analytics, content management, data management, data governance, reporting, and organizational analytics.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Title: data Company: Iqtalent Partners
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