Key Responsibilities :

- Design, develop, and maintain data pipelines using AWS services such as S3, Glue Studio, Redshift, Athena, and EMR.

- Write efficient SQL queries for data processing, transformation, and analysis.

- Develop and optimize Python scripts to automate data workflows.

- Manage batch job scheduling and monitor dependencies to ensure reliable data delivery.

- Collaborate with data analysts, data scientists, and business teams to enable data-driven decision-making.

- Troubleshoot and resolve issues related to data quality, performance, and scalability.

Required Qualifications :

- 4-8 years of experience as a Data Engineer or in a similar role.

- Hands-on experience with AWS data services : S3, Glue Studio, Redshift, Athena, and EMR.

- Strong proficiency in SQL and Python for large-scale data processing.

- Experience with batch job scheduling and managing complex data dependencies.

- Solid understanding of data modeling, ETL processes, and performance optimization.

- Excellent problem-solving skills and ability to work in a fast-paced environment.