Job Description

- Develop, maintain, and optimize ETL pipelines.
- Design and implement robust data pipelines in Python, focusing on scalability, performance, and reliability.
- Schedule and automate workflows, enhancing operational efficiency and accuracy.
- Collaborate in the development and maintenance of cloud-based infrastructure, applying best practices in DevOps to ensure high data availability and scalability.
- Work closely with data scientists, quantitative researchers, and trading teams to understand their data needs, providing technical solutions that enable effective data analysis and strategy implementation.
- Ensure code quality and maintainability by implementing robust CI/CD practices, code versioning, automated tests, and conducting thorough peer-reviews.
- Stay current with emerging trends and advancements in software development, data engineering, and cloud technologies, integrating new tools and techniques where beneficial.
- Expertise in handling and optimizing relational databases to support analytical applications

📌 Data Modeler (Bengaluru)
🏢 Louis Dreyfus
📍 Bengaluru