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Strong Fortune-500 brand, metro Hyderabad, popular entry-level data engineering title drives high applicant competition.
Core data engineering skills (Python, SQL, ETL) are highly transferable across industries despite financial domain context.
Explicit 0–2 years requirement plus mandatory Python/SQL and data skills enforces moderate shortlisting strictness.
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Maintain and expand data pipelines and platform capabilities for quantitative research and product development.
Implement automated data-quality controls, data lineage, documentation, and operational readiness for datasets used in research workflows.
Collaborate with researchers, product owners, and engineers to translate business requirements into technical deliverables and support production operations including CI/CD and incident triage.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field (or equivalent experience).
0–2 years of software engineering experience including internships or project work.
Proficiency in at least one general-purpose programming language (e.g., Python) and knowledge of SQL and ETL/ELT data transformations.
Understanding of software engineering practices such as version control (Git), code review, automated testing, and commitment to secure coding and data governance.
Experience or interest in data engineering with familiarity in building/supporting data pipelines, data validation, and cloud concepts.
Ability to work collaboratively in Agile teams, translating complex business needs into technical tasks while maintaining operational excellence.
Comfort with troubleshooting production issues, applying disciplined software engineering, and supporting research-oriented quantitative finance or machine learning environments.