Java Software Engineer​/Data Engineer

Mandatory Skillset

Java + AWS + Databricks

8+ Years Exp

Design, develop, and maintain scalable microservices using Java and Spring Boot.

Build and optimize real-time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks.

Develop robust data distribution and streaming solutions for high-throughput systems.

Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).

Write efficient and optimized SQL queries for relational databases.

Integrate and manage applications in AWS cloud environments.

Collaborate with cross-functional teams to ensure smooth delivery and integration of features.

Implement monitoring and observability solutions (Datadog) for system health and performance tracking.

Maintain high standards of code quality, reliability, and security.

• Strong programming skills in Java and Spring Boot.
• Hands‑on experience with Microservices architecture and RESTful APIs.
• Proficiency with Kafka and distributed streaming systems.
• Solid understanding of SQL and data modeling.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Working knowledge of Flink, Spark, or Databricks for data processing.
• Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
• Basic scripting in Python for automation or data manipulation.

• Experience with Datadog, Prometheus, or other monitoring tools.
• Exposure to CI/CD pipelines and Dev Ops practices.
• Knowledge of data engineering best practices and real‑time analytics.

• Core Java (Concurrency/Multithreading) – Expert
• Core Java (Collections, Objects) – Expert
• Spring – Expert
• Kafka – Intermediate or above
• SQL and No SQL DB – Intermediate or above
• Hands‑on with Flink, Spark, or Databricks for data processing.