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 current tools and techniques where beneficial.
Expertise in handling and optimizing relational databases to support analytical applications

📌 Data Modeler Bengaluru (India)
🏢 Louis Dreyfus
📍 India