Java Spark Developer

Key Responsibilities

• Develop enterprise-grade applications using Core Java and Apache Spark.
• Design and optimize batch/real-time data pipelines and distributed processing workloads.
• Develop and tune complex SQL queries and database workloads.
• Troubleshoot performance and production issues and implement scalable solutions.
• Collaborate with architects, data engineers, product teams, and business stakeholders.
• Mentor developers and contribute to architecture, code reviews, and engineering best practices.
• Leverage AI-assisted development and prompt engineering to improve productivity and solution quality.

Required Skills

• 7+ Years Strong Core Java, OOP, multithreading, concurrency, and JVM tuning.
• Hands-on Apache Spark, Spark SQL, DataFrames/Datasets.
• Strong SQL, database optimization, and large-scale data processing.
• Experience with Linux/Unix, Git, Maven/Gradle, CI/CD, and Agile.
• Strong problem-solving, communication, and leadership skills.

Preferred Skills

• Databricks, Delta Lake, Azure/AWS/GCP, Kafka, Python, Docker/Kubernetes, Airflow.
• Experience with Data Lakehouse, cloud-native architectures, and GenAI/LLM applications.
• Bachelor's degree in Computer Science, Engineering, IT, Mathematics, or related field.