Description

You will build and maintain event-driven data pipelines and support DevOps activities for the project team.

This role is on-site.

Responsibilities

• Build, maintain, and support event-driven data processing pipelines using Kafka.
• Develop API-based data ingestion and transformation workflows using REST services.
• Support automation, scheduling, and job development for data workflows on AWS and Databricks.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Required Skills

• Strong hands-on experience with PySpark and Python for data engineering tasks.
• Experience working with AWS cloud services and the Databricks platform.
• Good understanding of Kafka and event-driven data processing architectures.
• Knowledge of data modeling concepts and ETL/ELT pipeline development.
• Experience with REST API-based data ingestion and integration workflows.
• Familiarity with DevOps practices and Azure DevOps tools.

Preferred Skills

• Understanding of cloud-based data processing, workflow orchestration, and automation.
• Experience with GxP validation and qualification activities in regulated environments.

Key Skills

Education

Any Graduate