Description

You will develop and maintain data-intensive applications, focusing on ETL/ELT pipelines and data transformation using Java and Azure Databricks.

This role is on-site.

Responsibilities

• Design, build, and maintain ETL or ELT pipelines for data ingestion and transformation.
• Implement data processing logic using PySpark within Azure Databricks.
• Analyze data patterns and perform data visualization to support business insights.
• Maintain core Java applications using object-oriented design patterns and best practices.

Required Skills

• 5+ years of professional development experience with core Java (OOP, Collections, Multithreading, Data Structures).
• Proficiency in SQL and experience with NoSQL databases.
• Knowledge of Data Warehousing concepts and ETL/ELT processes.
• Experience with Azure Databricks, Spark Core, and Delta Lake.
• Familiarity with Microsoft Azure cloud platform.
• Proficiency with JUnit, Maven, GitHub, and IntelliJ IDE.

Preferred Skills

• Experience with Azure Data Factory (ADF).
• Strong understanding of object-oriented programming concepts and design patterns.

Key Skills

Education

Any Gradute