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Junior data role in Bangalore with broad Python, ETL, cloud, and CI/CD requirements increases competition.
Core data engineering skills are highly transferable across industries despite trading team interactions.
Explicit 1–2 year requirement plus mandatory Python, ETL, cloud, CI/CD and DB skills makes screening moderately strict.
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Develop, maintain, and optimize scalable ETL pipelines and data workflows primarily using Python.
Collaborate with data scientists, quantitative researchers, and trading teams to deliver technical data solutions supporting analysis and strategy.
Ensure high code quality and maintainability through CI/CD, version control, automated testing, and peer reviews, while maintaining cloud-based infrastructure with DevOps best practices.
1 to 2 years of relevant experience with required skillset.
Graduation in Computer Engineering or equivalent degree (BSc or MSc in Computer Science, Engineering, Information Systems, or related field).
Proficiency in developing and optimizing ETL pipelines and relational databases.
Work Experience Required: 1 to 2 years.
Experienced in building performant, reliable data pipelines in Python with focus on scalability and operational efficiency.
Familiarity with cloud infrastructure and DevOps practices to ensure high availability and scalability of data systems.
Ability to interface effectively with cross-functional teams like data science and trading to translate data needs into technical solutions.