Description :

We are looking for a Data Engineer with strong AWS and Python expertise to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will work closely with data analysts, data scientists, and business teams to deliver high-quality, reliable data solutions on AWS.

This is a Contract 2 Hire position with our client partner.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines on AWS

- Build and optimize ETL/ELT workflows using Python

- Work with structured and unstructured data from multiple sources

- Implement data ingestion, transformation, and validation processes

- Optimize data storage and performance using AWS data services

- Ensure data quality, security, and governance standards

- Collaborate with cross-functional teams for data requirements

- Troubleshoot and resolve data pipeline and performance issues

Mandatory Skills required :

- 8+ years of experience required in AWS Data Engineering and AWS Python

- Strong experience in AWS Data Engineering services, including :

1. Amazon S3

2. AWS Glue

3. Amazon Redshift / Athena

4. AWS Lambda

5. Amazon EMR (good to have)

- Advanced Python for data processing and automation

- Strong SQL skills (complex queries, performance tuning)

- Experience with ETL tools and frameworks

- Knowledge of data modeling, warehousing, and analytics concepts

- Experience working with large datasets and distributed systems