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Senior specialized data-platform role reduces applicants, but Mahindra brand and broad skillset increase competition.
Requires real-time IoT automotive data platform expertise, limiting cross-industry transferability.
Mandatory 10+ years and 5+ years leadership plus specific big-data and cloud skills impose strict filters.
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Design and implement a scalable, unified real-time automotive data platform integrating telemetry, IoT, customer feedback, and service data.
Lead end-to-end data governance including quality assurance, security, privacy compliance, and standardized data engineering practices.
Manage and develop a high-performing data engineering team aligned with evolving technology trends and collaborate cross-functionally to deliver business-driven data infrastructure solutions.
Minimum 10 years of progressive experience in data engineering or related fields, with at least 5 years in a leadership role managing large-scale data platforms.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related technical discipline.
Proven expertise in big data technologies, cloud platforms (AWS, Azure, GCP), and real-time data processing frameworks.
Work Experience Required: Minimum 10 years in data engineering or related roles.
Experienced leader with a strong background in scalable data platform architecture and real-time streaming data integration, preferably in automotive, IoT, or technology sectors.
Operates strategically with a results-driven mindset, focusing on technical excellence, team development, and cross-functional collaboration.
Demonstrates proficiency with big data tools (Apache Spark, Kafka), cloud services, automation, and data governance best practices.