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Metro location and recognizable ad-tech brand increase competition, but seniority and specialized big-data focus moderate density.
Deep streaming, ETL, and Kafka expertise required, limiting cross-industry transferability.
Explicit 10+ years experience and mandatory big-data technical skills enforce strict shortlisting.
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Lead and manage big data platform development teams to deliver on product roadmaps and ensure quality delivery.
Hire, onboard, and develop career plans for new and existing team members, fostering employee growth.
Promote engineering best practices and drive adoption of AI-assisted development tools to improve velocity, code quality, and delivery efficiency.
10+ years of experience in software development as a technical contributor.
2-3+ years of experience managing software engineering teams.
Technical understanding of Java/Scala stream processing, ETL, Backend API; experience with microservices architecture mandatory; Kafka and Kubernetes knowledge is a plus.
Hands-on experience with AI-assisted/agentic development tools (e.g., Claude Code, GitHub Copilot) and ability to guide adoption across teams.
Experienced leader comfortable providing technical guidance during solution implementation and managing software teams focused on big data platforms.
Familiar with microservices architectures and emerging AI-assisted development workflows.
Able to collaborate cross-organizationally to drive engineering best practices and deliver against roadmap commitments.