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.

- Solid 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.

📌 Java Spark Developer (Montreal)
🏢 Ju0026M Group
📍 Montreal