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Metro Hyderabad, mid-seniority, and common backend/data skills produce moderate applicant competition.
Role requires deep data platform and API experience, limiting cross-industry transferability.
Mandatory years, leadership requirement, and specific data+API tech stack enforce strict screening.
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Lead and mentor a software engineering team specializing in API development for real-time interactions with Enterprise Data Lake.
Architect and implement resilient, scalable, and secure data solutions using AWS cloud services and Java Spring Boot microservices.
Ensure technical success of projects by collaborating with cross-functional teams and enforcing engineering best practices.
Minimum 6+ years software development experience with strong API development in large-scale environments.
At least 2+ years in a leadership role managing or mentoring developers.
Strong skills in data warehousing, SQL, Python/PySpark, and AWS services including EMR, S3, Athena.
Work timings require availability between 06:00 AM – 11:30 AM ET to coordinate with US teams; flexibility with remote work and regional offices in India.
Experienced in leading technical teams delivering cloud-native, scalable API and data solutions in enterprise environments.
Proficient in AI/ML readiness and integrating AI-assisted development tools in data platforms.
Comfortable working in cross-continental environments with agile practices and enforcing high engineering standards.