Senior Data Engineer Only W2

6 days ago

Quincy, United States mavinsys Full time

MAVINSYS LLC HIRING for below position please share resume to

Email :

Role Responsibilities
As a Senior Data Engineer CASM Platform you will:

  • Data Integration API Development: Integrate diverse cybersecurity data sources using varietyof API mechanisms and to standardize and streamline data across the data and user planes.
  • Build and maintain data APIs for seamless access to data pipelines enabling realtime insights for applications machine learning models and analytical layers.
  • Data Pipeline Engineering Optimization: Design develop and optimize largescale ETL/ELTpipelines on Databricks to efficiently process and transform cybersecurity data. Utilize PythonPySpark and Databricks to automate and standardize data workflows across stages (rawcleaned curated) ensuring scalability and high performance.
  • Data Quality & Governance: Implement automated data quality checks leveraging DatabricksDQM tools and CI/CD pipelines to uphold data integrity and governance standards. Ensure datlineage metadata management and compliance with cybersecurity and privacy regulationsapplying rigorous quality standards across data ingestion and processing workflows.
  • Data Analytics & Visualization: Design centralized data models and perform indepth data analysis to support cybersecurity and risk management objectives. Develop visualizations anddashboards using tools like Databricks encapsulate data to spin up to React.js application layerto provide stakeholders with actionable insights into threat landscapes vulnerability trends andperformance metrics across the platform.
  • Scalable & Secure Data Architecture: Architect and manage secure highperformance dataenvironments on Databricks utilizing AWS services such as S3 ELB and Lambda. Ensure dataavailability consistency and security aligning with AWS best practices and data encryptionstandards to safeguard sensitive cybersecurity data.
  • Agile Product; Engineering Continuous Delivery: Collaborate with advanced Agile Product; Engineering crossfunctional teams to deliver datadriven insights through analytics tools andcustom visualizations that inform strategy and decisionmaking. Empower stakeholders withtimely actionable intelligence from complex data analyses enhancing their ability to respond toevolving cybersecurity risks.
  • Data Science & ML Integration: deploy machine learning models including predictive analyticsanomaly detection and risk scoring algorithms into the CASM platform. Leverage Python andPySpark to enable realtime and batch processing of model outputs enhancing CASM Platforms proactive threat detection and response capabilities.
  • Mentorship; Best Practices Promotion: Mentor junior engineers establishing best practices in data engineering DevOps data science and analytics. Encourage high standards in modeldeployment data security performance optimization and visualization practices fostering aculture of innovation and excellence.

PYTHON,PYSPARK,SQL,AWS

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