Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Mid-level Data Engineer in Hyderabad with a popular title and metro location increases candidate competition.
Core data engineering skills are transferable, but aviation/mission-critical experience increases domain specificity.
Explicit 5-7 years and mandatory Databricks, Azure, streaming, and Kubernetes skills drive high shortlisting strictness.
Design, build, and maintain scalable data pipelines and platforms using Databricks and Azure supporting large-scale IoT and airport operational data.
Lead technical architecture decisions including storage, processing frameworks, and integration patterns for both real-time and batch data streams.
Mentor junior engineers, establish best practices for data governance, CI/CD, security, and collaborate cross-functionally for delivery of robust data solutions.
5+ years of experience in data engineering or equivalent role.
Expertise in Databricks and Azure Data Services with proven production-grade data pipeline delivery.
Experience with streaming architectures, event-driven systems, microservices using Docker and Kubernetes.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
Experienced in architecting and implementing complex cloud data solutions at scale in real-time and batch processing environments.
Strong background in data modeling techniques (dimensional modeling, data vault, star/snowflake schemas) and ETL/ELT best practices.
Comfortable leading technical decisions and mentoring within a globally distributed, innovation-driven engineering organization.