Description

Lead the design and implementation of scalable data frameworks while contributing directly to hands-on development.

Responsibilities

• Architect scalable, efficient, and secure data frameworks using Python, Java, Spark, and Scala.
• Write clean, maintainable code for data pipelines, processing tasks, and data quality checks.
• Lead and mentor development teams by providing technical guidance and conducting code reviews.
• Implement unit and integration tests to ensure code reliability and troubleshoot framework issues.
• Document technical processes and best practices to facilitate knowledge transfer.

Required Skills

• 10-12 years of relevant technical experience.
• 2+ years of experience specifically in framework development.
• Proficiency in Scala, Spark, and Python.
• Experience with Big Data technologies including Kafka and Hive SQL.
• Hands-on experience with AWS and Databricks.
• Strong knowledge of Oracle SQL.
• Experience designing and developing scalable data frameworks using Java.
• Ability to lead teams, conduct code reviews, and manage technical documentation.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate