Back
Tier-1 employer, metro location, and broad data engineering skillset create high competition.
Core data engineering skills transfer across industries, with modest biotech domain preference.
Explicit 8–13 years and mandatory cloud/dataplatform skills 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 design, build, and optimization of scalable data pipelines and platforms using cloud technologies (preferably AWS).
Own platform management including scope, timelines, risk mitigation, and lifecycle policies.
Ensure data quality, implement automations for monitoring platform reliability, cost, and maintenance, and mentor junior engineers.
8 to 13 years of experience in computer science or related data engineering roles.
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and building cost-effective scalable data solutions.
Proficiency in Python, PySpark, and SQL with ETL performance tuning experience.
Experience managing cloud-based environments and troubleshooting cloud infrastructure issues.
Technically strong in cloud platform architecture and data engineering best practices including CI/CD and DevOps.
Experienced in multi-cloud environment management and monitoring tools for data platform reliability and cost.
Capable of mentoring others and collaborating with cross-functional teams including data scientists and business stakeholders.