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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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Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow) Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Develops, standardizes and optimizes existing data workflow/pipelines adhering to best practices.
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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Ensure alignment and partnership client internal stakeholders and vendors, establishing strong linkages with their service and product teams to support activities, covering on-premises and cloud technologies such as Azure Databricks, Azure PaaS services, Informatica Intelligent Cloud Services (IICS), Tibco Data Virtualization, Collibra, and Power BI.
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Extracting data from CBRN-related modeling programs through post processing utilities to provide analysts user-friendly data tables and graphics to depict complexities such as toxicity effects over time, degradation of agent strength, and contaminated area coverage as a function of time.
$150,001 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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As Principal HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. Analyze sparse microbiome data and large-dimensional data from genomes, metagenomes and metatranscriptomes.
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Proficiency in the use of analytical, statistical and econometric software packages such as STATA, Eviews, R, TSP, SPSS, Matlab and SAS.Preferred:Experience working with finance, budget, people analytics, macroeconomic data and writing macroeconomic research reports.
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I am writing to express my interest in the Data Science & Analysis (Digital) position at Guidehouse. Bullet Points: - Seeking Data Science & Analysis (Digital) position at Guidehouse. Data Science & Analysis (Digital.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Prior experience with mobile game data. Be the point person on data quality: the first to respond, the last to sign off, the one who defines the telemetry and taxonomy standards for the organization.
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As a subcontractor we are providing services from: DevSecOps , software development, network administration, systems analysis, database administration, storage engineering, hardware engineering, Tier 1 – Tier 3 support in traditional data center environments (bare metal frames), cloud , and hybrid cloud.
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Candidates will lead a strong team providing real time data expertise and analysis to support aviation performance and operations for the FAA’s Air Traffic Control System Command Center. Experience with aviation operations and air traffic data highly preferred.
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data job Company: Iqvia Holdings Inc in Silver Spring, MD
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