| Senior Data Engineer - Boston, MA - Local to MA only - NO H1B at Quincy, Massachusetts, USA |
| Email: [email protected] |
| From: Devyani Kumari, Absolute IT [email protected] Reply to: [email protected] Senior Data Engineer - Boston, MA Location: Quincy, MA - Hybrid (Locals required only!!) Candidate must have an active and an updated LinkedIn ID with a picture and current location updated (REQUIRED!!) Qualifications : The CASM Platform Product & Engineering team is looking for a Sr. Data Engineer, Cyber AI App & Attack Surface Management. CASM Platform team is focused on building enterprise-level robust and scalable Cyber AI applications and Platform to manage vulnerability, risk, security configurations, and attack surfaces oversight across the bank. We are seeking an experienced, hands-on Senior Data Engineer to join our CASM Platform team. Ideal candidates bring a deep understanding of data engineering within a cybersecurity context, extensive experience with cloud-native tools (especially AWS), and a passion for automation, security, intelligent Orchestration, and resilience. Youll work in high-paced Agile Product Engineering cross-functional teams, including Product, AI application, DevOps, and Data Quality Management (DQM), to transform The CASM platform into a single pane of glass for secure and insightful network asset and risk visibility. We have multiple openings for this role, and it is open to candidates with varying levels of experience. Minimum Qualifications: Education: B.S., M.S., or Ph.D. in Computer Science, Data Science, Information Systems, or a related field, or equivalent professional experience. Technical Expertise: 8+ 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. Security Integration: Proven experience implementing SCAS, SAST, DAST/WAS, and secure DevOps practices within an SDLC framework to ensure data security and compliance in a high- stakes cybersecurity environment. Data Architecture: Demonstrated ability to design and implement complex data architectures, including data lakes, data warehouses, and lake house solutions. Emphasis on secure, scalable, and highly available data structures that support ML-driven insights and real-time analytics. 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. Preferred Experience: Advanced Data Modeling; Governance: Expertise in designing data models for cybersecurity data analytics, emphasizing data lineage, federation, governance, and compliance. Experience ensuring security and privacy within data architectures. Machine Learning; Predictive Analytics: Experience deploying ML algorithms, predictive models, and anomaly detection frameworks to bolster CASM platforms cybersecurity capabilities. High-Performance Engineering Culture: Background in mentoring engineers in data engineering best practices, promoting data science, ML, and analytics integration, and fostering a culture of collaboration and continuous improvement. Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence sthree information technology Idaho Massachusetts Senior Data Engineer - Boston, MA - Local to MA only - NO H1B [email protected] |
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| Thu Nov 07 21:12:00 UTC 2024 |