Top Tech Jobs & Startup Jobs in Delhi
The C++ Developer will implement new software features for Malware detection, ensuring high quality standards. Responsibilities include innovating detection mechanisms, maintaining compliance, and supporting existing features. Proficiency in C++ coding, debugging, and understanding of Windows programming are essential.
Lead the data quality team to ensure the integrity and quality of McAfee's telemetry and BI data. Responsibilities include performing quality assessments, implementing automated testing processes, conducting audits, and updating documentation related to data quality.
The Technical Data Analyst will work within the Consumer Marketing organization to analyze complex datasets, drive marketing strategies through data insights, and support experimentation and data visualization efforts. Key responsibilities include developing data-driven recommendations, collaborating with stakeholders, and ensuring data quality while optimizing marketing performance.
The Power BI Analyst will design, develop, and maintain Power BI reporting solutions, collaborating with stakeholders to gather requirements and ensure high-quality, scalable reports that support informed decision-making. Responsibilities include developing SQL queries, transforming datasets into visual narratives, and promoting analytical tools for stakeholder engagement.
The Data Ingestion Engineer will manage and implement data ingestion processes on the Databricks platform, develop and optimize ETL/ELT pipelines, ensure compliance standards are met, utilize various source systems, and contribute to Agile sprints following SDLC best practices.
Conduct advanced adversarial emulation and penetration testing to uncover vulnerabilities, assess defenses, and enhance security posture. Collaborate with the SOC to create indicators of compromise, design attack simulations, and prepare detailed reports for various stakeholders.
As a DevOps Engineer at McAfee, you will manage DevOps activities on the Databricks platform, ensuring high availability and reliability while optimizing workload performance. You will oversee configuration management, automation processes, and maintain infrastructure tools, providing thought leadership on quality automation and data observability.
The Data Quality Analyst will focus on performing data quality validations across aggregation layers, automating data quality validation rules, and ensuring the quality of data for further analysis. Responsibilities include building metrics around data pipelines, collaborating with global teams, and reporting to the Data Quality Manager.
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