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Mid-level data/backend role at a known brand in Hyderabad with broad Python/SQL requirements.
Core data engineering skills are transferable, though sector-specific domain knowledge is preferred.
Explicit 4+ years requirement plus mandatory Python and databases increases screening strictness.
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Design, develop, and maintain large-scale, robust data collection pipelines in Python focused on strategic industries like Metals & Mining, Banking, Real Estate, TMT, and Energy.
Implement automated data quality control systems to ensure high availability and data accuracy of complex financial and industrial datasets.
Collaborate closely with local (Hyderabad) and international (Paris) teams to translate complex business requirements into high-performance technical solutions.
Bachelor’s or Engineering degree required.
4+ years of experience in back-end development.
Strong expertise in Python including performance optimization and asynchronous programming.
Experience with database design and complex SQL querying required.
Fluency in English mandatory.
Work location: Hyderabad office.
Technically strong backend developer with deep Python skills and experience in building scalable data pipelines for complex datasets.
Comfortable working in a hybrid international team environment with cross-functional collaboration (e.g. Product Owners, Product Specialists).
Interested in domain knowledge of financial and industrial sectors to understand business context behind data processing.