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Metro Bangalore, generalist data role with broad Python/ETL/cloud requirements attracts many qualified applicants.
Core Python, ETL, and cloud skills are highly transferable across industries.
Explicit 1–2 years plus mandatory Python/ETL/cloud skills creates moderate filtering of applicants.
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Develop and optimize ETL and data pipelines in Python focusing on scalability, performance, and reliability.
Schedule and automate workflows to improve operational efficiency and accuracy.
Collaborate with data scientists, researchers, and trading teams to provide technical data solutions and maintain cloud-based infrastructure with DevOps best practices.
1 to 2 years of relevant work experience.
Graduation in Computer Engineering or equivalent (BSc or MSc in Computer Science, Engineering, Information Systems, or related field).
Proficiency in Python for data pipeline development, ETL processes, and relational database optimization.
Experience with CI/CD practices, code versioning, automated tests, and DevOps principles.
Experienced in building and maintaining scalable, reliable data pipelines using Python in cloud environments.
Familiar with collaborating across data science, research, and trading teams to translate data requirements into technical solutions.
Demonstrates strong operational focus on automation and workflow scheduling with an emphasis on code quality and maintainability.