Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, popular fullstack role, mid-level experience, metro location, and broad required skillset.
Core fullstack skills transfer across industries, although data/retail experience preference slightly raises domain specificity.
Explicit 4+ years plus extensive mandatory tech stack (React, Java, Spring, Kafka, databases) increases filter rigidity.
Design and develop robust data solutions and infrastructure focusing on data pipelines, integration, and transformation to enable efficient data processing and analysis.
Develop and implement full stack applications using React JS, Java, Microservices, Spring Framework, Kafka, and work with SQL/NoSQL databases such as PostgreSQL and MongoDB.
Leverage cloud platforms (preferably GCP) to support data engineering and analytics initiatives, primarily in Retail/e-Commerce domain.
4+ years of relevant work experience in data engineering and full stack development.
Bachelor's degree in Technology, Engineering, MCA, M.E, or MBA (B.Tech preferred).
Mandatory proficiency in React JS, Java (Java 8+), Microservices, Spring Framework, Kafka, SQL/NoSQL databases.
Experience with cloud platforms is preferred, especially Google Cloud Platform (GCP).
Experienced in both front-end (React JS, Redux, JavaScript) and back-end (Java, Spring Boot, Microservices) development for data-intensive applications.
Familiarity with event-driven architectures and Kafka, comfortable operating with SQL and NoSQL databases including MongoDB and Cassandra.
Has worked in Retail or e-Commerce sectors, with exposure to modern cloud environments, preferably GCP, alongside Azure or AWS.