About the Role :

We are looking for a highly skilled AWS Data Engineer who can design, build, and optimize scalable data pipelines. If youre passionate about working with large datasets, solving complex problems, and driving data-driven decisions in the banking domainthis role is for you!

Key Responsibilities :

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

- Write optimized and high-performance SQL queries for large datasets

- Process and transform data using PySpark for scalable solutions

- Perform data validation, debugging, and performance tuning

- Collaborate with cross-functional teams to understand data requirements

- Take full ownership of tasks and ensure timely delivery

- Ensure data quality, integrity, and security standards

Required Skills :

- Strong expertise in SQL (complex joins, query optimization, performance tuning)

- Hands-on experience with PySpark (data processing & transformations)

- Experience working on AWS services (S3, Glue, Redshift, EMR, etc.)

- Strong debugging and analytical problem-solving skills

- Ability to work independently with minimal supervision

- Proactive mindset with high accountability

Good to Have :

- Experience in the Banking/Financial domain

- Knowledge of ETL/ELT processes and data warehousing concepts

- Familiarity with Airflow or other orchestration tool