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Tier-1 bank, mid-level data engineer in Mumbai with common skills creates high competition.
Data engineering skills are broadly transferable, but Citi research domain knowledge raises moderate industry specificity.
Explicit 5–7 years requirement plus mandatory Python/SQL/ETL skills and banking context makes filtering strict.
Design, develop, and maintain automated, scalable ETL/ELT data pipelines and data ingestion workflows using Python and SQL.
Collaborate closely with Product Managers to analyze complex data requirements and deliver optimized data pipeline solutions impacting key departmental initiatives.
Act as a primary contact for queries related to data architecture, ETL processes, and database objects within an Agile environment, ensuring quality and timeliness of data services.
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 with ETL tools (e.g., Talend, SSIS) or custom Python-based ETL processes.
Bachelor's or Master's degree in Science, Computers, Engineering, or equivalent experience.
Experienced in working within large, global matrixed organizations and Agile-based development environments with tools like JIRA.
Skilled at independently solving complex data integration and database problems with strong attention to detail.
Familiar with leveraging AI/LLM-based productivity tools to accelerate code development, debugging, and automation tasks.