Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and lead development of scalable, AI/ML-ready data platforms ensuring high performance, scalability, and reliability.
Own complex ETL architecture, data pipeline optimization, storage solution evaluation, and data governance enforcement.
Mentor junior/intermediate engineers and establish engineering best practices including AI-powered enhancements and MLOps integration.
Minimum Requirements
Bachelor's degree required; advanced degree preferred.
4–7 years experience as a Data Engineer or similar role with large-scale data solution architecture and team mentoring.
Strong expertise in Python, SQL, Spark/Hadoop at production scale; cloud platforms AWS/GCP/Azure fundamentals; infrastructure-as-code and CI/CD pipelines.
Location requirement: Bangalore or Hyderabad; Hybrid work mode (3 days office) with IST working hours.
Ideal Candidate Profile
Experienced in designing data models/schemas for transactional and analytical workloads and evaluating storage solutions by performance and cost.
Skilled in AI-native architecture design with advanced MLOps pipelines and adoption of AI-enhanced data engineering tools.
Demonstrates leadership through mentoring engineers, setting technical standards, and leading AI tool adoption and governance in the engineering team.