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Tier-1 brand, mid-level data engineer role in Mumbai with broad skills increases applicant competition.
Core data engineering skills are transferable, though financial research domain knowledge favors finance candidates.
Explicit 5–7 years requirement and specific Python/SQL/ETL skills make shortlisting highly strict.
Design, develop, and maintain automated, scalable data pipelines (ETL/ELT) using Python and SQL.
Collaborate with Product Managers to analyze complex data requirements and deliver optimized data engineering solutions.
Act as point of contact for data architecture, ETL processes, and manage multiple development initiatives in an Agile environment.
5-7 years of relevant experience as a Data Engineer.
High proficiency in Python (including pandas, NumPy) and SQL (Oracle, SQL Server, or PostgreSQL).
Experience building data pipelines using ETL tools such as Talend, SSIS, or custom Python-based processes.
Bachelor’s or Master’s degree in Science, Computers, Engineering, or equivalent experience.
Experienced in working within large, matrixed, global organizations and Agile development environments.
Strong problem solver able to independently address complex database and data integration issues.
Familiarity with productivity enhancements from Large Language Models (LLMs) and Generative AI to accelerate workflows.