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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Center 3 (19075), United States of America, McLean, VirginiaPrincipal Associate, Cyber Security Data Scientist. Professional Certification (Security+, Data+, Cyber Security Analyst+, or Systems Security Certified Practitioner.
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Job Description :Big Data Engineer Lead Location: This position will work a hybrid model (remote and office). Preferred Location: Atlanta, GA.The Big Data Engineer Lead is responsible for full delivery of end-to-end system development and maintenance on medium Enterprise-wide technology platforms.
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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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Big Creek Dam offers beautiful, scenic waterfall views, while East Roswell Park features fishing, hiking and cycling options. Roswell puts on a number of annual productions that are big draws in the region, including a large memorial day ceremony, a storytelling festival, and a fireworks extravaganza.
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As a Senior Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp. Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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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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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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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.
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within the last four years; orCLA (ASCP) Certification and a bachelor’s degree in a biological science four years of full time acceptable experience in in Blood Banking, Chemistry, Hematology, Microbiology, Immunology and Urinalysis/Body Fluids in the U.S., Canada or an accredited laboratory
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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10+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
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big data scientist jobs in Atlanta, SD, Australia
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