2 Databricks Dqm Jobs

Job Description Education: B.E. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. Technical Expertise: 5+ years in data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context. Cloud Proficiency: Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes). Experience in managing large-scale data environments on AWS, optimizing for performance, security, and compliance. Data Quality & Governance: Hands-on experience with automated data quality checks, data lineage, and governance standards. Proficiency in Databricks DQM or similar tools to enforce data integrity and compliance across pipelines. Data Analytics & Visualization: Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks, threat patterns, and vulnerability trends. Skilled in translating complex data into accessible visuals and reports for cross-functional teams. CI/CD and Automation: Experience building CI/CD pipelines that automate testing, security scans, and deployment processes. Proficiency in deploying ML models and data processing workflows using CI/CD, ensuring consistent quality and streamlined delivery. Agile Experience: Deep experience in Agile/Scrum environments, with a thorough understanding of Agile core values and principles, effectively delivering complex projects with agility and cross-functional collaboration. Responsibilities Education: B.E. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. Technical Expertise: 5+ years in data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context. Cloud Proficiency: Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes). Experience in managing large-scale data environments on AWS, optimizing for performance, security, and compliance. Data Quality & Governance: Hands-on experience with automated data quality checks, data lineage, and governance standards. Proficiency in Databricks DQM or similar tools to enforce data integrity and compliance across pipelines. Data Analytics & Visualization: Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks, threat patterns, and vulnerability trends. Skilled in translating complex data into accessible visuals and reports for cross-functional teams. CI/CD and Automation: Experience building CI/CD pipelines that automate testing, security scans, and deployment processes. Proficiency in deploying ML models and data processing workflows using CI/CD, ensuring consistent quality and streamlined delivery. Agile Experience: Deep experience in Agile/Scrum environments, with a thorough understanding of Agile core values and principles, effectively delivering complex projects with agility and cross-functional collaboration. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Education: B.E. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. Technical Expertise: 5+ years in data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context. Cloud Proficiency: Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes). Experience in managing large-scale data environments on AWS, optimizing for performance, security, and compliance. Data Quality & Governance: Hands-on experience with automated data quality checks, data lineage, and governance standards. Proficiency in Databricks DQM or similar tools to enforce data integrity and compliance across pipelines. Data Analytics & Visualization: Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks, threat patterns, and vulnerability trends. Skilled in translating complex data into accessible visuals and reports for cross-functional teams. CI/CD and Automation: Experience building CI/CD pipelines that automate testing, security scans, and deployment processes. Proficiency in deploying ML models and data processing workflows using CI/CD, ensuring consistent quality and streamlined delivery. Agile Experience: Deep experience in Agile/Scrum environments, with a thorough understanding of Agile core values and principles, effectively delivering complex projects with agility and cross-functional collaboration. Responsibilities Education: B.E. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. Technical Expertise: 5+ years in data engineering with strong skills in Python, PySpark, SQL, and extensive, hands-on experience with Databricks and big data frameworks. Expertise in integrating data science workflows and deploying ML models for real-time and batch processing within a cybersecurity context. Cloud Proficiency: Advanced proficiency in AWS, including EC2, S3, Lambda, ELB, and container orchestration (Docker, Kubernetes). Experience in managing large-scale data environments on AWS, optimizing for performance, security, and compliance. Data Quality & Governance: Hands-on experience with automated data quality checks, data lineage, and governance standards. Proficiency in Databricks DQM or similar tools to enforce data integrity and compliance across pipelines. Data Analytics & Visualization: Proficiency with analytics and visualization tools such as Databricks, Power BI, and Tableau to generate actionable insights for cybersecurity risks, threat patterns, and vulnerability trends. Skilled in translating complex data into accessible visuals and reports for cross-functional teams. CI/CD and Automation: Experience building CI/CD pipelines that automate testing, security scans, and deployment processes. Proficiency in deploying ML models and data processing workflows using CI/CD, ensuring consistent quality and streamlined delivery. Agile Experience: Deep experience in Agile/Scrum environments, with a thorough understanding of Agile core values and principles, effectively delivering complex projects with agility and cross-functional collaboration. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrows technology to tackle todays challenges. Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. Thats why were committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. Were committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [HIDDEN TEXT] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less