Description

You will build, maintain, and optimize data pipelines and cloud-based implementations for big data workloads.

This role is on-site.

Responsibilities

• Design and implement ETL pipelines and data ingestion processes.
• Develop and manage data processing frameworks using AWS architecture principles.
• Troubleshoot, debug, and optimize applications within production environments.
• Collaborate using Agile methodology to deliver data engineering solutions.

Required Skills

• 5+ years of experience in data engineering and delivery.
• 5+ years of experience with big data concepts and cloud implementations.
• Strong proficiency in SQL and Python.
• Hands-on experience with PySpark and Spark.
• Experience with Snowflake.
• Experience with AWS services including Glue, EMR, S3, Aurora, and RDS.
• Solid understanding of AWS architecture.

Preferred Skills

• Insurance domain knowledge.

Key Skills

Education

Any Graduate