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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Job Description Computer Data Entry Work from Home Part Time Job Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
$26 an hourPart-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
$39,382 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. Sight and Sound play a large role in our day-to-day experiences.
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Ability to work under pressure and within tight deadlinesAttention to detailPreferred ExperienceExperience in data visualization and analysis tools such as Power BI, Looker Studio, Qlik, or Tableau.
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Development of Go-to-Market and Service Offering definitions for Data Engineering. Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS - Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum) Lead the design, development, and deployment of ML pipelines and data solutions in cloud environments such as AWS, Microsoft Azure, and Google Cloud Platform (GCP), with a focus on AWS.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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Provide full-service execution of market research projects including understanding objectives, developing research design/methodology, questionnaire or discussion guide development, programming, field monitoring, data analysis, report creation, and results review.
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Domain knowledge for the following cybersecurity capability areas: Application Security, Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, Identity and Access Management, Cyber Threat Operations, Cybersecurity Testing.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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K2 Integrity is looking for a highly motivated and focused Data Scientist to design, develop, and implement our Systemic Risk Analytics Framework for K2 Integrity’s market leading Anti-Financial Crime and Compliance solutions.
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market data jobs Company: Leidos in Atlanta, GA
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