Senior Security Specialist

Job summaryWe are seeking a highly skilled Senior Python Data Science Expert with extensive experience in managing and analyzing very large datasets utilizing cloud platforms and implementing data lakehouse architectures. The ideal candidate will have a strong background in data science big data technologies and cloud computing ResponsibilitiesData Analysis: Perform complex data analysis on large datasets to extract actionable insights and support decision-making processesData Lakehouse Implementation: Design implement and maintain data lakehouse architectures that integrate the benefits of data lakes and data warehousesCloud Integration: Develop and manage data processing systems on cloud platforms such as AWS Google Cloud or Microsoft AzureETL Processes: Design and optimize ETL (Extract Transform Load) processes to ensure efficient data ingestion transformation and storageMachine Learning: Develop and deploy machine learning models to solve business problems and enhance data-driven decision-makingCollaboration: Work closely with cross-functional teams including data engineers data analysts and IT professionals to ensure seamless data operationsData Governance: Implement data governance policies to ensure data quality security and compliance with industry standardsPerformance Optimization: Monitor and optimize the performance of data processing systems and machine learning modelsDocumentation: Maintain comprehensive documentation of data workflows models and processesRequired SkillsExperience: 8+ years of hands-on experience in data science and big data technologies.Python: Strong expertise in Python programming for data analysis and machine learning.Big Data Technologies: Proficiency in big data tools and frameworks such as Hadoop Spark and KafkaCloud Platforms: Extensive experience with cloud platforms like AWS Google Cloud or Microsoft AzureData Lakehouse: Knowledge of data lakehouse architectures and their implementation.ETL Processes: Expertise in designing and optimizing ETL processes.Machine Learning: Experience with machine learning frameworks such as TensorFlow PyTorch and scikit-learnDatabase Technologies: Proficiency in database technologies such as SQL NoSQL and data warehousing solutions.Data Governance: Understanding of data governance principles and practices.Collaboration: Strong collaboration skills to work effectively with cross-functional teams.Advanced Analytics: Experience with advanced analytics techniques such as predictive modeling clustering and anomaly detectionData Visualization: Proficiency in data visualization tools such as Tableau Power BI or matplotlibDevOps: Familiarity with DevOps practices for continuous integration and deployment.Security: Knowledge of data security best practices and tools.Performance Tuning: Experience in performance tuning and optimization of data processing systems.Experience & QualificationsStatistical Analysis: Advanced knowledge of statistical analysis and modeling techniquesProgramming Languages: Expertise in programming and scripting languages such as C++ Java R Scala SAS and SQLUnstructured Data: Experience in navigating and extracting important information from unstructured dataProject Management: Strong project management skills to lead data science projects and initiatives

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