Position : Senior Java Data Engineer

Location: Hyderabad (2 days onsite)

• 2 technical interviews

Key Responsibilities:

• System Architecture: Design & develop scalable backend applications using Java (8-17) and Spring Boot.
• Data Pipeline Engineering: Build and maintain high-volume ETL/ELT pipelines and batch processing. Should be comfortable working in legacy technologies like Ruby on Rails and modern AWS pipelines, Pyspark.
• Cloud Infrastructure: Deploy & manage data workflows on AWS cloud, leveraging services such as Lambda, S3, ECS, EC2.
• Advanced Scripting: Utilize Python and Unix/Shell scripting to automate manual processes, system monitoring, and data transformation tasks.
• SQL & Database knowledge: SQL queries and perform performance tuning for relational databases.
• Automation & CI/CD: Implement and own CI/CD pipelines using Jenkins, Maven, Gradle, Docker to ensure continuous integration and data health monitoring.
• Leadership & Mentorship: Provide technical guidance to junior developers, conduct code reviews, and collaborate with stakeholders to translate business needs into technical designs.

Required Skills:

• 8-9 years of core Java and J2EE, Spring Boot experience in a production environment, ORM framework knowledge.
• Python hands-on experience
• AWS cloud experience
• Hands-on expertise with Big Data engineering ingestion, ETL, data pipelines, troubleshooting bottlenecks.
• Proficiency in containerization tools like Docker, CI/CD Jenkins