We are looking for an experienced AWS Data Engineer with strong expertise in PySpark, PostgreSQL, and AWS Data Engineering services.

Key Responsibilities:

- Design and implement scalable data reporting infrastructure.

- Build and maintain data pipelines and ETL processes.

- Develop and manage data storage solutions using AWS services.

- Maintain data reporting scripts, workflows, and tools.

- Ensure data accuracy, consistency, and security across the data platform.

- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

- Collaborate with cross-functional teams to support reporting and analytics requirements.

Required Skills:

- Strong experience with PySpark.

- Hands-on experience with PostgreSQL (SQL).

- AWS Data Engineering experience.

- Experience with:

1. Amazon RDS (PostgreSQL)

2. Amazon S3

3. AWS Lambda

4. AWS Glue

- Strong knowledge of ETL development and data pipeline design.

- Good understanding of data security, performance optimization, and troubleshooting.