SQL Data Engineer - Python/ETL

Job Summary :

We are seeking a Data Engineer with expertise in SQL, Data Modeling, AWS Glue, Python, and MS Excel.

The ideal candidate will design scalable data solutions, build reliable pipelines, and ensure high-quality, well-modeled data to drive business insights.

Key Responsibilities :

- Design and maintain robust data models to support analytics and reporting needs.

- Develop and optimize ETL pipelines using AWS Glue for scalable data processing.

- Write and tune SQL queries to extract, transform, and analyze large datasets.

- Use Python for data automation, validation, and process improvement.

- Leverage MS Excel for advanced data analysis, reporting, and validation tasks.

- Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.

- Ensure data accuracy, reliability, and governance across all environments.

Requirements :

- 5+ years of experience in data engineering or related roles.

- Strong proficiency in SQL for complex query development and optimization.

- Expertise in data modeling techniques (relational and dimensional).

- Hands-on experience with AWS Glue for building and managing ETL pipelines.

- Proficiency in Python for scripting and workflow automation.

- Advanced MS Excel skills for reporting, validation, and analysis.

- Excellent problem-solving skills, attention to detail, and ability to work in a collaborative environment.