Back
Metro Hyderabad, known US firm, senior title but specialized data-lake and AWS skills create moderate competition.
Core data engineering, PySpark, and AWS skills are highly transferable across industries.
Explicit multi-year requirements, mandatory AWS/PySpark/metadata stack and leadership experience make shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and mentor the API Engineering team focused on designing and implementing scalable, secure, and low latency REST API solutions supporting Enterprise Data Lake.
Own technical success and architecture of projects involving AWS cloud components like EMR, S3, Athena, and Lake Formation to support real-time data-driven business decisions.
Collaborate across BI, data science, and business stakeholders to translate data needs into robust technical solutions and ensure engineering best practices in development and deployment.
Minimum 6+ years software development experience with strong API development in large-scale environments.
Minimum 2+ years in leadership roles managing or mentoring developers (e.g., team lead, senior developer, architect).
Strong SQL skills (complex queries) and experience with Python/PySpark; familiarity with AWS services (EMR, S3, Athena) mandatory.
Work schedule requires availability aligned partially with US Eastern Time zone (6:00 AM – 11:30 AM ET), remaining hours flexible; location flexibility with possible travel to Regional Engagement Hubs in India.
Experienced in large-scale data architecture, API development, and cloud-native data platforms, particularly using AWS ecosystem.
Proven ability to lead technical teams, enforce engineering best practices, and deliver collaborative data-driven solutions in fast-paced environments.
Familiarity with AI/ML readiness for data platforms, metadata management (e.g., Apache Atlas), and applying responsible AI principles to improve product quality and operational resilience.