- Develop and maintain Python and SQL scripts for data extraction, transformation, and loading (ETL/ELT).
- Utilize AWS data stack, including S3, Redshift, Glue, and Lambda, to build and maintain data pipelines.
- Design and implement data models for various internal and external datasets.
- Contribute to the automation of trading desk processes.
- Develop web applications to support trading operations and analytics.
- Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
- Collaborate and communicate effectively with stakeholders across different business lines and technology.

Required Knowledge, Skills and Abilities:

- 4+ years of experience with Python and SQL. We are adaptable with years of experience and focus is on candidate with right skill and knowledge.
- Proficiency with AWS data stack (S3, Redshift, Glue, Lambda). AWS certifications are a plus.
- Experience building and maintaining time-critical data integration pipelines (ETL/ELT).
- Strong data modelling skills.
- Experience with enterprise-scale data systems.
- Experience in a trading environment (physical or paper) is highly desirable.

📌 Data Engineer (Mumbai)
🏢 wissen technology
📍 Mumbai