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 strong 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 Qualifications

Graduation in compute engineering and Equivalent. (BSc or MSc in Computer Science, Engineering, Information Systems, or a related field.)
1 to 2 years of experience with right skillset.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Data Modeler

Job Description

No Referrers Available