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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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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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Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections. Monitor internal and external data sources while leveraging vendor resources to gather intelligence from deep and dark web, covert communication channels, social media platforms and other OSINT sources.
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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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Relevant certifications in Databricks, Azure, or Spark (e.g., Azure Data Engineer, Databricks Certified Associate) are a plus. Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics.
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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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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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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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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. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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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. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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Knowledge of work with the US Government in the area of CFIUS in highly complex cases, where data protection is required. Install structure and excellence over Enterprise Governance & Cybersecurity Risk Assessments, Data Privacy, Internal Audit, and strategic client projects.
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Support the execution of deployment and data migration scripts in Teamcenter. Expertise in administering Teamcenter and CAD Integrations (Creo, NX, AutoCAD, Solidworks, SolidEdge, Xpedition) & Teamcenter - ERP (SAP/Oracle) IntegrationWE VALUE.
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The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.
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data job Title: associate Company: Stromquist Co Inc in Atlanta, IN, France
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