We are looking for an experienced AWS Data Engineer with hands-on experience in building and maintaining data pipelines, data platforms, and cloud-based data solutions on AWS.

The candidate should have strong experience in Python, SQL, AWS data services, ETL/ELT pipelines, and data warehousing, along with practical exposure to Generative AI applications.

ROLES AND RESPONSIBILITIES :

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

- Build ETL/ELT processes to extract data from multiple sources, transform it, and load it into data platforms.

- Develop data solutions using AWS services such as S3, Glue, Lambda, Redshift, Athena, EMR, and Step Functions.

- Develop and optimize SQL queries for data processing and reporting.

- Write Python scripts and applications for data processing and automation.

- Build data models and prepare datasets for analytics and AI applications.

- Support data preparation for Generative AI applications, including collecting, cleaning, transforming, and organizing relevant data.

- Build data pipelines that support AI-powered search, question-answering, and document-based applications.

MANDATORY SKILLS :

Total Experience :

- Strong hands-on experience with AWS data services (S3, Glue, Redshift, Athena, Lambda, IAM).

- Strong programming experience in Python and SQL.

- Practical experience working on applications that use Generative AI, including embeddings and vector-based search.

- Experience with CI/CD, Git, and production support.

PREFERRED SKILLS :

- Experience with AWS AI services, Amazon OpenSearch, Spark/PySpark, Apache Airflow, and Terraform/CloudFormation.