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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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Major(s): Business, Computer Forensics, Cybersecurity, Data Analytics/Science, Digital Forensics, Economics, Information Technology Management, History, Art History, Journalism, Investigative Journalism, Law, Pre-Law, International Law, Library Science, Legal Studies, Linguistics, Management Information Systems, Philosophy, Political Science, Research & Analysis/Legal Research, Risk Management.
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Proficiency in Cloud-based data warehousing platforms such as Redshift and Snowflake, along with expertise in data modeling, mining, and segmentation techniques. Familiarity with AWS cloud services and stream-processing systems such as Kafka, Storm, and Spark-Streaming.
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Experience with data collection and investigation in Cloud technologies. Capital One is looking for an eDiscovery analyst to join the Cyber Insider Threat and Technical Investigations Team. The role will work closely with other lines of business to support litigation and investigation requests utilizing multiple applications across electronic devices such as email archives, document management systems, laptops, workstations, servers, cell phones, and multi-cloud environments.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 3+ years of experience with Cloud based DW such as Redshift , Snowflake etc.
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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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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commensurate experience such as Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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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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Associates Degree in laboratory science (Chemical or Biological Science) or medical laboratory technology from an accredited institution and certification as a Medical Technologist. Bachelor’s degree in a chemical, physical, biological or clinical laboratory science or medical technology from an accredited institution and applicants must be certified.
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The School plays leadership roles in TRIAD, the cross-disciplinary NSF-funded center in data science, and the NSF-funded research training hub in Geometry and Topology (GTGT). The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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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.
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Applicants should have a Juris Doctor (J.D.), Doctor of the Science of Law (J.S.D.), Doctor of Juridical Science (S.J.D.), LL.M. (Master of Laws), or Bachelor of Laws (LL.B.) from an ABA accredited law school.
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Demonstrate deep knowledge on conversion areas and map the data from legacy system to Oracle Cloud ERP applications. Including functionality of the following modules: Cloud General Ledger, Cloud Billing, Cloud Accounts Receivable, Cloud PPM, Cloud Project Costing, Cloud Fixed Assets, and Fusion Tax.
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