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
Lead design, development, and maintenance of complex data products on Google Cloud Platform, ensuring clean, maintainable, and scalable solutions.
Lead and mentor Data Engineering teams through full software development lifecycle, managing delivery of robust and innovative data applications using Agile methodology.
Own data governance, security practices, and implement DevOps/CI/CD pipelines to optimize data engineering quality and performance.
Minimum Requirements
Experience working on Google Cloud Platform data engineering solutions with tools such as BigQuery, Cloud SQL, Spanner, Pub/Sub, Dataflow, and container orchestration (GKE).
Strong proficiency in Python (including multithreading and async programming) and advanced SQL skills (query tuning, schema design, concurrency management).
Proven leadership experience managing high-performing data engineering teams and delivering data products in Agile environments.
Work Experience Required: 17-22 years; Location: Hyderabad; Mode: Hybrid work.
Ideal Candidate Profile
Senior-level data engineering leader comfortable architecting and scaling distributed data platforms in cloud environments (Google Cloud preferred).
Experienced in data modelling aligned to domain boundaries with embedded data quality, privacy controls, and secure architectural principles.
Strong focus on operational excellence through DevOps, CI/CD automation, FinOps optimisation, and enforcing engineering best practices across teams.