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Tier-1 employer, common Big Data Engineer title, mid-level (4+ yrs), metro location, and broad skillset amplify competition.
Core data engineering skills are transferable, though retail/e-commerce preference adds moderate domain sensitivity.
Multiple mandatory technical skills (React, Java, Kafka, SQL/NoSQL) and 4+ years experience make filters stringent.
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Design and develop robust data infrastructure and systems enabling efficient data processing and analysis.
Develop and implement data pipelines, data integration, and data transformation solutions using technologies including React JS, Java, Kafka, and SQL/NoSQL databases.
Leverage cloud platforms (GCP preferred, also Azure and AWS) and work with frameworks like Spring Boot and microservices to support retail/e-commerce clients.
4+ years of experience in data engineering or related roles.
Mandatory skills: React JS, Javascript, Redux, Typescript, HTML, CSS, Java (Java 8+), J2EE, Microservices, Spring Framework, Kafka, and SQL/NoSQL databases.
Education: Bachelor of Engineering degree (B.Tech, M.Tech, MCA, M.E, MBA acceptable).
Experience with cloud platforms preferred: especially Google Cloud Platform (GCP), Azure, or AWS.
Experienced in building scalable, event-driven data systems using Kafka and microservices in retail/e-commerce contexts.
Proficient full-stack developer comfortable with both front-end (ReactJS, Redux) and back-end (Java, Spring Boot) technologies.
Familiar with cloud-native data engineering on GCP or similar cloud environments to execute complex data transformation and integration tasks.