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Lead a team of engineers in designing and implementing scalable backend solutions, integrating with large-scale data pipelines.

Requirements

• 10+ years of hands-on experience in Java development (Java 8+)
• Strong experience with Spring Boot, REST APIs, and Microservices
• Proficient in PySpark and distributed data processing using Apache Spark
• Hands-on experience with Hadoop Ecosystem, HDFS, and Hive
• Experience working with Kafka for data streaming
• Strong knowledge of SQL, data modeling, and performance tuning
• Exposure to CI/CD pipelines, Docker, and Kubernetes is a plus

Responsibilities

• Lead the design and development of scalable backend services using Java and Spring Boot
• Develop batch and real-time data processing pipelines using PySpark on Apache Spark
• Work closely with Data Engineers, Architects, and DevOps teams to ensure smooth data flow and platform stability
• Optimize and tune performance of Java applications and PySpark jobs
• Implement and enforce best practices in code quality, testing, and deployment
• Participate in Agile ceremonies and work closely with business stakeholders to deliver solutions
• Mentor junior developers and review code to ensure maintainability and performance

Other

• Hybrid (Onsite 2–3 days per week)
• Excellent problem-solving, communication, and leadership skills
• Experience in Banking / Financial Services domain
• Familiarity with AWS / Azure cloud platforms
• Bachelor's or Master’s Degree in Computer Science, Engineering, or related field