Data Engineer

 Develop, optimize, and maintain Python scripts for data processing, automation, and integration.
- Write efficient SQL queries for data extraction, transformation, and reporting.
- Design and manage relational databases, ensuring data integrity and performance.
- Collaborate with cross-functional teams to understand requirements and deliver scalable solutions.
- Implement best practices for coding, testing, and deployment.

Qualifications

- 1+ years of experience in ETL development with strong proficiency in Python (libraries such as Pandas, NumPy, SQLAlchemy).
- Expertise in SQL (query optimization, stored procedures, joins, indexing).
- Experience with relational databases (MySQL, PostgreSQL, or similar).
- Ability to work with large datasets and troubleshoot data related issues 
- Familiarity with data structures, algorithms, and object-oriented programming.
- Strong problem-solving and analytical skills.