Description

You will design and build backend services and data-driven applications using Apache Spark and Java.

This role is hybrid.

Responsibilities

• Develop and maintain Apache Spark-based data processing pipelines.
• Integrate REST APIs for backend and data applications.
• Write optimized PL/SQL queries for large dataset manipulation.
• Automate jobs and manage orchestration using Unix commands and Bash scripts.
• Troubleshoot complex technical issues across Java and Spark layers.

Required Skills

• 4+ years of experience in Big Data engineering.
• Strong proficiency in Core Java, including Multithreading and Collections Framework.
• Practical expertise developing with Apache Spark using Java.
• Proficiency in PL/SQL for data querying and transformations.
• Experience building and maintaining scalable backend systems.
• Strong knowledge of Unix commands and Bash scripting.
• Understanding of configuration management and change control processes.
• Familiarity with Big Data concepts.

Preferred Skills

• Experience with Hadoop ecosystem tools like HDFS, Hive, Kafka.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of containerization (Docker) and CI/CD pipelines.

Key Skills

Education

Any Gradute